Complexity

ISSN: 1076-2787

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  1.  18
    Topological Models of Rough Sets and Decision Making of COVID-19.Mostafa A. El-Gayar & Abd El Fattah El Atik - 2022 - Complexity 2022 (1):2989236.
    The basic methodology of rough set theory depends on an equivalence relation induced from the generated partition by the classification of objects. However, the requirements of the equivalence relation restrict the field of applications of this philosophy. To begin, we describe two kinds of closure operators that are based on right and left adhesion neighbourhoods by any binary relation. Furthermore, we illustrate that the suggested techniques are an extension of previous methods that are already available in the literature. As a (...)
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  2.  11
    The Effect of Utilizing Business Model Canvas on the Satisfaction of Operating Electronic Business.Bahjat Fakieh, Abdullah S. Al-Malaise Al-Ghamdi & Mahmoud Ragab - 2022 - Complexity 2022 (1):1649160.
    The Business Model Canvas is a strategic model for developing business organizations’ roadmap toward achieving their goals. While several organizations utilize the Business Model Canvas to establish and operate their businesses well, the utilization of BMC seems to be limited in the local market of Saudi Arabia, especially when businesses utilize electronic business channels. This paper aims to explore the status of the utilization of BMC among Saudi SMEs, as a critical sector. The paper highlights the awareness and practice of (...)
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  3.  14
    Fast and Robust Image Encryption Scheme Based on Quantum Logistic Map and Hyperchaotic System.Nehal Abd El-Salam Mohamed, Aliaa Youssif & Hala Abdel-Galil El-Sayed - 2022 - Complexity 2022 (1):3676265.
    Topic of quantum chaos has begun to draw increasing attention in recent years. So, to ensure the security of digital image, an image encryption algorithm based on combining a hyperchaotic system and quantum 3D logistic map is proposed. This algorithm is applied in four stages. Initially, the key generator builds upon the foundation of mean for any row or column of the edges of the plain image. Its output value is used to yield initial conditions and parameters of the proposed (...)
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  4.  13
    Simulation-Based Multiobjective Optimization of Open-Pit Mine Haulage System: A Modified-NBI Method and Meta Modeling Approach.Milad Abolghasemian, Armin Ghane Kanafi & Maryam Daneshmand-Mehr - 2022 - Complexity 2022:1-15.
    A large number of engineering problems involve several conflicting objectives, which today are often solved through expensive simulation calculations. Methods based on meta-models are one of the approaches to solving this group of problems. In this paper, multiobjective optimization in the extraction system of a copper open-pit mine complex is presented by the modified-NBI optimization method and regression meta-model. For this purpose, two objective functions of maximizing the amount of total extraction, which is the sum of the extraction of sulfide, (...)
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  5.  8
    Estimation for Akshaya Failure Model with Competing Risks under Progressive Censoring Scheme with Analyzing of Thymic Lymphoma of Mice Application.Tahani A. Abushal, Jitendra Kumar, Abdisalam Hassan Muse & Ahlam H. Tolba - 2022 - Complexity 2022:1-27.
    In several experiments of survival analysis, the cause of death or failure of any subject may be characterized by more than one cause. Since the cause of failure may be dependent or independent, in this work, we discuss the competing risk lifetime model under progressive type-II censored where the removal follows a binomial distribution. We consider the Akshaya lifetime failure model under independent causes and the number of subjects removed at every failure time when the removal follows the binomial distribution (...)
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  6.  11
    Lazy Network: A Word Embedding-Based Temporal Financial Network to Avoid Economic Shocks in Asset Pricing Models.George Adosoglou, Seonho Park, Gianfranco Lombardo, Stefano Cagnoni & Panos M. Pardalos - 2022 - Complexity 2022:1-12.
    Public companies in the US stock market must annually report their activities and financial performances to the SEC by filing the so-called 10-K form. Recent studies have demonstrated that changes in the textual content of the corporate annual filing can convey strong signals of companies’ future returns. In this study, we combine natural language processing techniques and network science to introduce a novel 10-K-based network, named Lazy Network, that leverages year-on-year changes in companies’ 10-Ks detected using a neural network embedding (...)
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  7.  13
    A Fuzzy DEMATEL-ANP-Based Approach to Prioritize Activities in Enterprise Architecture.Jamshid Afshani, Abbas Karimi, Nafiseh Osati Eraghi & Faraneh Zarafshan - 2022 - Complexity 2022:1-12.
    Prioritization of activities is a multicriteria problem that includes both quantitative and qualitative factors. Moreover, due to the nature of organizations and activities, the impact of activities on each other is fuzzy. Prioritizing activities in real and fuzzy situations will help an organization’s decision makers to make the right decisions. In this paper, a new fuzzy hybrid methodology is proposed to describe and prioritize the activities of the organization in fuzzy conditions. First, the activities of the organization are described in (...)
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  8.  14
    Computation of the Complexity of Networks under Generalized Operations.Hafiz Usman Afzal, Muhammad Javaid, Ali Ovais & Md Nur Alam - 2022 - Complexity 2022:1-20.
    The connected and acyclic components contained in a network are identified by the computation of its complexity, where complexity of a network refers to the total number of spanning trees present within. The article in hand deals with the enumeration of the complexity of various networks’ operations such as sum, product, difference K 2, n ⊖ K 2, and the conjunction of S n with K 2. All our computations have been concluded by implementation of the methods of linear algebra (...)
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  9.  13
    Estimating Daily Rice Crop Evapotranspiration in Limited Climatic Data and Utilizing the Soft Computing Algorithms MLP, RBF, GRNN, and GMDH.Pouya Aghelpour, Hadigheh Bahrami-Pichaghchi & Farzaneh Karimpour - 2022 - Complexity 2022:1-18.
    Evapotranspiration represents the water requirement of plants during their growing season, and its accurate measurement at the farm is essential for agricultural water planners and managers. Field measurements of evapotranspiration have always been associated with many difficulties that have led researchers to seek a way to remotely measure this component in horticultural and agricultural areas. This study aims to investigate an indirect approach for daily rice crop evapotranspiration measurement by machine learning techniques and the least available climatic variables. For this (...)
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  10.  11
    Vertex-Edge-Degree-Based Topological Properties for Hex-Derived Networks.Ali Ahmad & Muhammad Imran - 2022 - Complexity 2022:1-13.
    A topological index can be focused on uprising of a chemical structure into a real number. The degree-based topological indices have an active place among all topological indices. These topological descriptors intentionally associate certain physicochemical assets of the corresponding chemical compounds. Graph theory plays a very useful role in such type of research directions. The hex-derived networks have vast applications in computer science, physical sciences, and medical science, and these networks are constructed by hexagonal mesh networks. In this paper, we (...)
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  11.  13
    Extreme Gradient Boosting Algorithm for Predicting Shear Strengths of Rockfill Materials.Mahmood Ahmad, Ramez A. Al-Mansob, Kazem Reza Kashyzadeh, Suraparb Keawsawasvong, Mohanad Muayad Sabri Sabri, Irfan Jamil & Arnold C. Alguno - 2022 - Complexity 2022:1-11.
    For the safe and economical construction of embankment dams, the mechanical behaviour of the rockfill materials used in the dam’s shell must be analyzed. The characterization of rockfill materials with specified shear strength is difficult and expensive due to the presence of particles greater than 500 mm in diameter. This work investigates the feasibility of using an extreme gradient boosting computing paradigm to estimate the shear strength of rockfill materials. To train and validate the proposed XGBoost model, a total of (...)
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  12.  7
    Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier.Mahmood Ahmad, Herda Yati Katman, Ramez A. Al-Mansob, Feezan Ahmad, Muhammad Safdar & Arnold C. Alguno - 2022 - Complexity 2022:1-10.
    Rockburst phenomenon is the primary cause of many fatalities and accidents during deep underground projects constructions. As a result, its prediction at the early design stages plays a significant role in improving safety. The article describes a newly developed model to predict rockburst intensity grade using Adaptive Boosting classifier. A database including 165 rockburst case histories was collected from across the world to achieve a comprehensive representation, in which four key influencing factors such as maximum tangential stress of the excavation (...)
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  13.  25
    Feature Extraction of Plant Leaf Using Deep Learning.Muhammad Umair Ahmad, Sidra Ashiq, Gran Badshah, Ali Haider Khan & Muzammil Hussain - 2022 - Complexity 2022:1-8.
    Half a million species of plants could be existing in the world. Classification of plants based on leaf features is a critical job as feature extraction from binary images of leaves may result in duplicate identification. However, leaves are an effective means of differentiating plant species because of their unique characteristics like area, diameter, perimeter, circularity, aspect ratio, solidity, eccentricity, and narrow factor. This paper presents the extraction of plant leaf gas alongside other features from the camera images or a (...)
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  14.  20
    Yield Response of Different Rice Ecotypes to Meteorological, Agro-Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression.Md Sabbir Ahmed, Md Tasin Tazwar, Haseen Khan, Swadhin Roy, Junaed Iqbal, Md Golam Rabiul Alam, Md Rafiul Hassan & Mohammad Mehedi Hassan - 2022 - Complexity 2022:1-20.
    The food security of more than half of the world’s population depends on rice production which is one of the key objectives of precision agriculture. The traditional rice almanac used astronomical and climate factors to estimate yield response. However, this research integrated meteorological, agro-chemical, and soil physiographic factors for yield response prediction. Besides, the impact of those factors on the production of three major rice ecotypes has also been studied in this research. Moreover, this study found a different set of (...)
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  15.  7
    Theoretical Model Development for Energy Motion of Dusty Turbulent Flow of Fibre Suspensions in a Rotational Frame.Shams Forruque Ahmed - 2022 - Complexity 2022:1-11.
    Fibre suspension has garnered considerable attention in turbulent flows that are used in many industries. Solid particles, such as dust particles, notably affect the turbulent flow field in a rotational frame. In assessing their impacts, the dusty turbulent flow for fibre suspensions needs to be studied in a frame of rotation that can be substantially applied in many industries. This study, therefore, aims to build a theoretical model for the energy motion of dusty turbulent flow of fibre suspensions in a (...)
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  16.  14
    A Novel Modeling Technique for the Forecasting of Multiple-Asset Trading Volumes: Innovative Initial-Value-Problem Differential Equation Algorithms for Reinforcement Machine Learning.Mazin A. M. Al Janabi - 2022 - Complexity 2022:1-16.
    Liquidity risk arises from the inability to unwind or hedge trading positions at the prevailing market prices. The risk of liquidity is a wide and complex topic as it depends on several factors and causes. While much has been written on the subject, there exists no clear-cut mathematical description of the phenomena and typical market risk modeling methods fail to identify the effect of illiquidity risk. In this paper, we do not propose a definitive one either, but we attempt to (...)
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  17.  12
    The Co-Movement between International and Emerging Stock Markets Using ANN and Stepwise Models: Evidence from Selected Indices.Dania Al-Najjar - 2022 - Complexity 2022:1-14.
    In the past two decades, especially after the financial crisis of 2007–09, the literature for examining the availability of integration between the stock exchanges in developed and developing markets has grown. The importance of this topic stems from the significant implications of the linkage between exchange markets on various decisions taken by interested parties, such as policymakers and investors, in the decisions for portfolio diversification. This study examines the relationship between a developing stock exchange index, Amman Stock Exchange Index, and (...)
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  18.  9
    Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data.Giambattista Albora & Andrea Zaccaria - 2022 - Complexity 2022:1-12.
    The relatedness between a country or a firm and a product is a measure of the feasibility of that economic activity. As such, it is a driver for investments at a private and institutional level. Traditionally, relatedness is measured using networks derived by country-level co-occurrences of product pairs, that is counting how many countries export both. In this work, we compare networks and machine learning algorithms trained not only on country-level data, but also on firms, which is something not much (...)
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  19.  25
    The Analysis of Fractional-Order Nonlinear Systems of Third Order KdV and Burgers Equations via a Novel Transform.A. A. Alderremy, Shaban Aly, Rabia Fayyaz, Adnan Khan, Rasool Shah & Noorolhuda Wyal - 2022 - Complexity 2022:1-24.
    In this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with (...)
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  20.  12
    A Novel Mining Approach for Data Analysis and Processing Using Unmanned Aerial Vehicles.Ali Alenezi, Ahmad Sawalmeh, Hazim Shakhatreh, Muhannad Almutiry & Nasser Aedh Alreshidi - 2022 - Complexity 2022:1-10.
    In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes to use the unmanned aerial vehicle as a relay communication node between the exploration team and the ground control station. UAV can act as a relay node to provide mobile, flexible, and reliable communication links in remote environments and complex topologies. In this work, the (...)
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  21.  8
    The Analysis of Fractional-Order Proportional Delay Physical Models via a Novel Transform.Meshari Alesemi, Naveed Iqbal & Ahmed A. Hamoud - 2022 - Complexity 2022:1-13.
    In this paper, we deal with an alternative analytical analysis of fractional-order partial differential equations with proportional delay, achieved by applying Yang decomposition method, where the fractional derivative is taken in Caputo sense. The suggested series results are discovered to quickly converge to an exact solution. The computation of three test problems of fractional-order with proportional delay partial differential equations was presented to confirm the validity and efficiency of suggested method. The system appears to be a very dependable, effective, and (...)
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  22.  12
    A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map.Adel R. Alharbi, Jawad Ahmad, Undefined Arshad, Sajjad Shaukat Jamal, Fawad Masood, Yazeed Yasin Ghadi, Nikolaos Pitropakis & William J. Buchanan - 2022 - Complexity 2022:1-15.
    With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain. To address these concerns and keep data safe, a robust privacy-preserving cryptosystem is necessary. Such a solution relies on chaos encryption algorithms over standard cryptographic methods that possess multistage encryption levels, including high speed, high security, low compute overheads, and procedural power, among other characteristics. In this work, a secure image encryption scheme is proposed using (...)
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  23.  18
    A Comparison of Finite Difference and Finite Volume Methods with Numerical Simulations: Burgers Equation Model.Ali Hasan Ali, Ahmed Shawki Jaber, Mustafa T. Yaseen, Mohammed Rasheed, Omer Bazighifan & Taher A. Nofal - 2022 - Complexity 2022:1-9.
    In this paper, we present an intensive investigation of the finite volume method compared to the finite difference methods. In order to show the main difference in the way of approaching the solution, we take the Burgers equation and the Buckley–Leverett equation as examples to simulate the previously mentioned methods. On the one hand, we simulate the results of the finite difference methods using the schemes of Lax–Friedrichs and Lax–Wendroff. On the other hand, we apply Godunov’s scheme to simulate the (...)
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  24.  23
    Fixed Point Results of Dynamic Process D ˇ ϒ, μ 0 through F I C -Contractions with Applications.Amjad Ali, Eskandar Ameer, Muhammad Arshad, Hüseyin Işık & Mustafa Mudhesh - 2022 - Complexity 2022:1-8.
    This article constitutes the new fixed point results of dynamic process D through FIC-integral contractions of the Ciric kind and investigates the said contraction to iterate a fixed point of set-valued mappings in the module of metric space. To do so, we use the dynamic process instead of the conventional Picard sequence. The main results are examined by tangible nontrivial examples which display the motivation for such investigation. The work is completed by giving an application to Liouville‐Caputo fractional differential equations.
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  25.  19
    Developing an Integrative Data Intelligence Model for Construction Cost Estimation.Zainab Hasan Ali, Abbas M. Burhan, Murizah Kassim & Zainab Al-Khafaji - 2022 - Complexity 2022:1-18.
    Construction cost estimation is one of the essential processes in construction management. Project cost is a complex engineering problem due to various factors affecting the construction industry. Accurate cost estimation is important in construction management and significantly impacts project performance. Artificial intelligence models have been effectively implemented in construction management studies in recent years owing to their capability to deal with complex problems. In this research, extreme gradient boosting is developed as an advanced input selector algorithm and coupled with three (...)
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  26.  6
    A New Flexible Logarithmic-X Family of Distributions with Applications to Biological Systems.Ibrahim Alkhairy, Humaira Faqiri, Zubir Shah, Hassan Alsuhabi, M. Yusuf, Ramy Aldallal, Nicholas Makumi & Fathy H. Riad - 2022 - Complexity 2022:1-15.
    Probability distributions play an essential role in modeling and predicting biomedical datasets. To have the best description and accurate prediction of the biomedical datasets, numerous probability distributions have been introduced and implemented. We investigate a novel family of lifetime probability distributions to represent biological datasets in this paper. The proposed family is called a new flexible logarithmic- X family. The suggested NFLog- X family is obtained by applying the T- X method together with the exponential model having the PDF m (...)
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  27.  75
    New Statistical Approaches for Modeling the COVID-19 Data Set: A Case Study in the Medical Sector.Mohammed M. A. Almazah, Kalim Ullah, Eslam Hussam, Md Moyazzem Hossain, Ramy Aldallal & Fathy H. Riad - 2022 - Complexity 2022:1-9.
    Statistical distributions have great applicability for modeling data in almost every applied sector. Among the available classical distributions, the inverse Weibull distribution has received considerable attention. In the practice of distribution theory, numerous methods have been studied and suggested/introduced to increase the flexibility level of the traditional probability distributions. In this paper, we implement different distribution methods to obtain five new different versions of the inverse Weibull model. The new modifications of the inverse Weibull model are called the logarithm transformed-inverse (...)
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  28.  13
    A Flexible Extension of Reduced Kies Distribution: Properties, Inference, and Applications in Biology.Muqrin A. Almuqrin, Ahmed M. Gemeay, M. M. Abd El-Raouf, Mutua Kilai, Ramy Aldallal & Eslam Hussam - 2022 - Complexity 2022:1-19.
    The extended reduced Kies distribution, which is an asymmetric flexible extension of the reduced Kies distribution, is the subject of this research. Some of its most basic mathematical properties are deduced from its formal definitions. We computed the ExRKD parameters using eight well-known methods. A full simulation analysis was done that allows the study of these estimators’ asymptotic behavior. The efficiency and applicability of the ExRKD are investigated via the modeling of COVID-19 and milk data sets, which demonstrates that the (...)
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  29.  18
    Smart Congestion Control in 5G/6G Networks Using Hybrid Deep Learning Techniques.Saif E. A. Alnawayseh, Waleed T. Al-Sit & Taher M. Ghazal - 2022 - Complexity 2022:1-10.
    With the mobility and ease of connection, wireless sensor networks have played a significant role in communication over the last few years, making them a significant data carrier across networks. Additional security, lower latency, and dependable standards and communication capability are required for future-generation systems such as millimeter-wave LANs, broadband wireless access schemes, and 5G/6G networks, among other things. Effectual congestion control is regarded as of the essential aspects of 5G/6G technology. It permits operators to run many network illustrations on (...)
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  30.  5
    Generalized Exponential Fuzzy Entropy Approach for Automatic Segmentation of Chest CT with COVID-19 Infection.Saud S. Alotaibi & Ahmed Elaraby - 2022 - Complexity 2022:1-13.
    The proposed work describes an approach for the segmentation of abnormal lung CT scans of COVID-19. Lung diseases are the leading killer in both men and women. The pulmonary experts normally make attempts, such as early detection of patients by tomography tests before lung specialists treat patients who are tortured by lung disease. Moreover, lung specialists do their best to detect the presence of lung conditions. X rays or CT scan checks are performed for tomography tests. The finest approach for (...)
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  31.  19
    A SEIR Epidemic Model of Whooping Cough-Like Infections and Its Dynamically Consistent Approximation.M. M. Alqarni, Arooj Nasir, Maryam Ahmed Alyami, Ali Raza, Jan Awrejcewicz, Muhammad Rafiq, Nauman Ahmed, Tahira Sumbal Shaikh & Emad E. Mahmoud - 2022 - Complexity 2022:1-13.
    Whooping cough is a highly transmitted disease around the world. According to the World Health Organization, 0.15 million cases had reported globally in 2018. Most of the Asian and African states are infected regions. Through the study, we investigated the whole population into the four classes susceptible, exposed, infected, and vaccinated or recovered. The transmission dynamics of whooping cough disease are studied analytically and numerically. Analytical analyses are positivity, boundedness, reproduction number, equilibria, and local and global stabilities. In numerical analysis, (...)
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  32.  21
    An Incremental Interesting Maximal Frequent Itemset Mining Based on FP-Growth Algorithm.Hussein A. Alsaeedi & Ahmed S. Alhegami - 2022 - Complexity 2022:1-20.
    Frequent itemset mining is the most important step of association rule mining. It plays a very important role in incremental data environments. The massive volume of data creates an imminent need to design incremental algorithms for the maximal frequent itemset mining in order to handle incremental data over time. In this study, we propose an incremental maximal frequent itemset mining algorithms that integrate subjective interestingness criterion during the process of mining. The proposed framework is designed to deal with incremental data, (...)
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  33.  13
    Design of System-of-System Acquisition Analysis Using Machine Learning.Fahad H. Alshammari - 2022 - Complexity 2022:1-15.
    A system of system’s ability to function is derived from the integration of systems from different sources. An SOS’s systems serve two purposes: first, to accomplish their own specific aims, and second, to provide resources to the SOS as a whole. In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. Every organisation that acquires a sophisticated system employs some type of data analytics to evaluate the system’s independent objectives, which is (...)
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  34.  9
    New Periodic and Localized Traveling Wave Solutions to a Kawahara-Type Equation: Applications to Plasma Physics.Haifa A. Alyousef, Alvaro H. Salas, M. R. Alharthi & S. A. El-Tantawy - 2022 - Complexity 2022:1-15.
    In this study, some new hypotheses and techniques are presented to obtain some new analytical solutions to the generalized Kawahara equation. As a particular case, some traveling wave solutions to both Kawahara equation and modified Kawahara equation are derived in detail. Periodic and soliton solutions to this family are obtained. The periodic solutions are expressed in terms of Weierstrass elliptic functions and Jacobian elliptic functions. For KE, some direct and indirect approaches are carried out to derive the periodic and localized (...)
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  35.  8
    Novel Evaluation of the Fractional Acoustic Wave Model with the Exponential-Decay Kernel.Rabab Alyusof, Shams Alyusof, Naveed Iqbal & Mohammad Asif Arefin - 2022 - Complexity 2022:1-14.
    This study employs a newly developed methodology called the variational homotopy perturbation transformation method to study fractional acoustic wave equations. The motivation for this study is to extend the variational homotopy perturbation technique to the variational homotopy perturbation transformation technique in the sense of the Yang–Caputo–Fabrizio operator. The suggested method demonstrated a straightforward and accurate technique for investigating fractional-order partial differential equations. The technique’s validity is demonstrated through the use of several illustrative instances. The obtained answers were found to be (...)
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  36.  23
    Corrigendum to “Introducing a Chaotic Component in the Control System of Soil Respiration”.Peng An, Wen-Feng Wang, Xi Chen, Jing Qian & Yunzhu Pan - 2022 - Complexity 2022:1-2.
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  37.  84
    On Robust Stability for Hurwitz Polynomials via Recurrence Relations and Linear Combinations of Orthogonal Polynomials.Alejandro Arceo, Héctor F. Flores, Lino G. Garza, Luis E. Garza & Gerardo Romero - 2022 - Complexity 2022:1-13.
    In this contribution, we use the connection between stable polynomials and orthogonal polynomials on the real line to construct sequences of Hurwitz polynomials that are robustly stable in terms of several uncertain parameters. These sequences are constructed by using properties of orthogonal polynomials, such as the well-known three-term recurrence relation, as well as by considering linear combinations of two orthogonal polynomials with consecutive degree. Some examples are presented.
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  38.  14
    Analytical Investigation of Some Dynamical Systems by ZZ Transform with Mittag–Leffler Kernel.Mounirah Areshi, Muhammad Naeem & Noorolhuda Wyal - 2022 - Complexity 2022:1-17.
    In this work, ZZ transformation is combined with the Adomian decomposition method to solve the dynamical system of fractional order. The derivative of fractional order is represented in the Atangana–Baleanu derivative. The numerical examples are combined for their approximate-analytical solution. It is explored using graphs that indicate that the actual and approximation results are close to each other, demonstrating the method’s usefulness. Fractional-order solutions are the most in line with the dynamics of the targeted problems, and they provide an endless (...)
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  39.  17
    Multi-Frequency Information Flows between Global Commodities and Uncertainties: Evidence from COVID-19 Pandemic.Emmanuel Asafo-Adjei, Siaw Frimpong, Peterson Owusu Junior, Anokye Mohammed Adam, Ebenezer Boateng & Robert Ofori Abosompim - 2022 - Complexity 2022:1-32.
    Owing to the adverse impact of the COVID-19 pandemic on world economies, it is expected that information flows between commodities and uncertainties have been transformed. Accordingly, the resulting twisted risk among commodities and related uncertainties is presumed to rise during stressed market conditions. Therefore, investors feel pressured to find safe haven investments during the pandemic. For this reason, we model a mixture of asymmetric and non-linear bi-directional causality between global commodities and uncertainties at different frequencies through the information flow theory. (...)
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  40.  13
    A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.Muhammad Zubair Asghar, Adidah Lajis, Muhammad Mansoor Alam, Mohd Khairil Rahmat, Haidawati Mohamad Nasir, Hussain Ahmad, Mabrook S. Al-Rakhami, Atif Al-Amri & Fahad R. Albogamy - 2022 - Complexity 2022:1-12.
    Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into account (...)
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  41.  11
    On the Dynamics of Cournot Duopoly Game with Governmental Taxes.S. S. Askar - 2022 - Complexity 2022:1-11.
    A quadratic utility function is introduced in this paper to study the dynamic characteristics of Cournot duopoly game. Based on the bounded rationality mechanism, a discrete dynamical map that describes the game’s dynamic is obtained. The map possesses only one equilibrium point which is Nash point. The stability conditions for this point are analyzed. These conditions show that the point becomes unstable due to two bifurcation types that are flip and Neimark–Sacker. The synchronization property for that map is studied. Through (...)
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  42.  10
    Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models.Hamzeh F. Assous - 2022 - Complexity 2022:1-15.
    This study aims to examine the main determinants of efficiency of both conventional and Islamic Saudi banks and then choose the best fit model among machine learning prediction models, Chi-squared automatic interaction detector, linear regression, and neural network ). The data were collected from the annual financial reports of Saudi banks from 2014 to 2018. The Saudi banking sector consists of 11 banks, 4 of which are Islamic. In this study, the major financial ratios are subgrouped into the profitability ratios, (...)
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  43.  12
    A Decision-Making Framework Using q-Rung Orthopair Probabilistic Hesitant Fuzzy Rough Aggregation Information for the Drug Selection to Treat COVID-19.Undefined Attaullah, Shahzaib Ashraf, Noor Rehman, Hussain AlSalman & Abdu H. Gumaei - 2022 - Complexity 2022:1-37.
    In our current era, a new rapidly spreading pandemic disease called coronavirus disease, caused by a virus identified as a novel coronavirus, is becoming a crucial threat for the whole world. Currently, the number of patients infected by the virus is expanding exponentially, but there is no commercially available COVID-19 medication for this pandemic. However, numerous antiviral drugs are utilized for the treatment of the COVID-19 disease. Identification of the appropriate antivirus medicine to treat the infection of COVID-19 is still (...)
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  44.  3
    Some Existence Results for a System of Nonlinear Sequential Fractional Differential Equations with Coupled Nonseparated Boundary Conditions.Muath Awadalla - 2022 - Complexity 2022:1-17.
    This article concerns with the existence and uniqueness theory of solutions for sequential fractional differential system involving Caputo fractional derivatives of order 1
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  45.  13
    Performance Analysis in Production Systems with Uncertain Data: A Stochastic Data Envelopment Analysis Approach.Seyedeh Fatemeh Bagheri, Alireza Amirteimoori, Sohrab Kordrostami & Mansour Soufi - 2022 - Complexity 2022:1-14.
    The problem of determining an optimal benchmark to inefficient decision-making units is an important issue in the field of performance analysis. Previous methods for determining the projection points of inefficient DMUs have only focused on one objective and other features have been ignored. This paper attempts to determine the best projection point for each DMU when the inputs and outputs data are in stochastic form and presents an alternative definition for the best projection by considering three main aspects: technical efficient, (...)
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  46.  12
    Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management.László Bántay, Gyula Dörgö, Ferenc Tandari & János Abonyi - 2022 - Complexity 2022:1-13.
    Alarm management is an important task to ensure the safety of industrial process technologies. A well-designed alarm system can reduce the workload of operators parallel with the support of the production, which is in line with the approach of Industry 5.0. Using Process Mining tools to explore the operator-related event scenarios requires a goal-oriented log file format that contains the start and the end of the alarms along with the triggered operator actions. The key contribution of the work is that (...)
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  47.  16
    Connectedness between Gold and Cryptocurrencies in COVID-19 Pandemic: A Frequency-Dependent Asymmetric and Causality Analysis.Zynobia Barson, Peterson Owusu Junior, Anokye M. Adam & Emmanuel Asafo-Adjei - 2022 - Complexity 2022:1-17.
    We employ a frequency-dependent asymmetric and causality analysis to investigate the connectedness between gold and cryptocurrencies during the COVID-19 pandemic. Hence, the variational mode decomposition-based quantile regression is utilised. Findings from the study divulge that the variational mode functions at the lower quantiles are mostly significant and negative indicating that gold acts as a safe haven, a diversifier at most market conditions with insignificant coefficients, and a hedge at normal market conditions for most cryptocurrencies at various investment horizons. Particularly, hedging (...)
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  48.  10
    Finite Difference Computation of Au-Cu/Magneto-Bio-Hybrid Nanofluid Flow in an Inclined Uneven Stenosis Artery.H. Thameem Basha, Karthikeyan Rajagopal, N. Ameer Ahammad, S. Sathish & Sreedhara Rao Gunakala - 2022 - Complexity 2022:1-18.
    The present study addresses the fluid transport behaviour of the flow of gold -copper /biomagnetic blood hybrid nanofluid in an inclined irregular stenosis artery as a consequence of varying viscosity and Lorentz force. The nonlinear flow equations are transformed into dimensionless form by using nonsimilar variables. The finite-difference technique is involved in computing the nonlinear transport dimensionless equations. The significant parameters like angle parameter, the Hartmann number, changing viscosity, constant heat source, the Reynolds number, and nanoparticle volume fraction on the (...)
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  49.  53
    A Combined Deep CNN: LSTM with a Random Forest Approach for Breast Cancer Diagnosis.Almas Begum, V. Dhilip Kumar, Junaid Asghar, D. Hemalatha & G. Arulkumaran - 2022 - Complexity 2022:1-9.
    The most predominant kind of disease that is normal among ladies is breast cancer. It is one of the significant reasons among ladies, regardless of huge endeavors to stay away from it through screening developers. An automatic detection system for disease helps doctors to identify and provide accurate results, thereby minimizing the death rate. Computer-aided diagnosis has minimum intervention of humans and produces more accurate results than humans. It will be a difficult and long task that depends on the expertise (...)
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  50.  9
    UAVs Protection and Countermeasures in a Complex Electromagnetic Environment.Anton O. Belousov, Yevgeniy S. Zhechev, Evgeniya B. Chernikova, Alexander V. Nosov & Talgat R. Gazizov - 2022 - Complexity 2022:1-16.
    The study considers the problem of ensuring electromagnetic compatibility of EMI-based functional destruction means with other radioelectronic equipment as part of a complex for countering unmanned aerial vehicles. To solve this problem, it is proposed to create a methodology that combines a set of diverse approaches and methods. This study focuses on the use of hollow and thin passive conductors, the use of a magnetodielectric in a reflection symmetric modal filter, the use of reflection symmetric structures for decomposing the train (...)
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  51.  22
    Stability Analysis for Differential Equations of the General Conformable Type.Abdellatif Ben Makhlouf, El-Sayed El-Hady, Salah Boulaaras & Mohamed Ali Hammami - 2022 - Complexity 2022:1-6.
    Fractional calculus is nowadays an efficient tool in modelling many interesting nonlinear phenomena. This study investigates, in a novel way, the Ulam–Hyers and Ulam–Hyers–Rassias stability of differential equations with general conformable derivative. In our analysis, we employ some version of Banach fixed-point theory. In this way, we generalize several earlier interesting results. Two examples are given at the end to illustrate our results.
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  52.  16
    Corrigendum to “The Influence of Confidence and Social Networks on an Agent-Based Model of Stock Exchange”.Mario A. Bertella, Jonathas N. Silva, André L. Correa & Didier Sornette - 2022 - Complexity 2022:1-1.
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  53. Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction.Suraj Kumar Bhagat, Tiyasha Tiyasha, Zainab Al-Khafaji, Patrick Laux, Ahmed A. Ewees, Tarik A. Rashid, Sinan Salih, Roland Yonaba, Ufuk Beyaztas & Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ - 2022 - Complexity 2022:1-17.
    Air temperature prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system, hybrid neural-fuzzy inference system, and adaptive neurofuzzy inference system for AT prediction. Modelling was done for three stations in North Dakota, USA, i.e., Robinson, Ada, and Hillsboro. The results reveal that FIS type models are well suited when handling highly (...)
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  54.  20
    The Complexity of Interaction between Executive Board Gender Diversity and Financial Performance: A Panel Analysis Approach Based on Random Effects.Victoria Bogdan, Dorina-Nicoleta Popa & M. Beleneşi - 2022 - Complexity 2022:1-20.
    This study examined the influence of the executive board of directors’ gender diversity on the financial performance of listed companies on the Bucharest Stock Exchange, for the period 2011 to 2019. The analysis of the composition and different characteristics of the board and the executive directors proved to be effective tools for corporate governance in countries with an emerging capital market. Therefore, a disclosure index on directors’ characteristics was used to moderate the interaction between gender diversity and financial performance, based (...)
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  55.  27
    Flights-to-and-from-Quality with Islamic and Conventional Bonds in the COVID-19 Pandemic Era: ICEEMDAN-Based Transfer Entropy.Ahmed Bossman, Samuel Kwaku Agyei, Peterson Owusu Junior, Ellen Animah Agyei, Patrick Kwashie Akorsu, Edward Marfo-Yiadom & George Amfo-Antiri - 2022 - Complexity 2022:1-25.
    We revisit the flight-to-quality and flight-from-quality occurrences vis-à-vis the stock-bond nexus across differing investment time scales in the COVID-19 era, using a novel technique hinged on a denoised frequency-domain transfer entropy. Our findings divulge that flights, both FTQ and FFQ, could be attained during stress periods. Generally, in the intermediate term of the COVID-19 pandemic, both Islamic and conventional bonds could act as safe havens, diversifiers, and hedges for international equities, and the same could be observed for international equities. We (...)
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  56.  8
    Modelling on Car-Sharing Serial Prediction Based on Machine Learning and Deep Learning.Nihad Brahimi, Huaping Zhang, Lin Dai & Jianzi Zhang - 2022 - Complexity 2022:1-20.
    The car-sharing system is a popular rental model for cars in shared use. It has become particularly attractive due to its flexibility; that is, the car can be rented and returned anywhere within one of the authorized parking slots. The main objective of this research work is to predict the car usage in parking stations and to investigate the factors that help to improve the prediction. Thus, new strategies can be designed to make more cars on the road and fewer (...)
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  57.  55
    The Peer Effects of the Usage of Credit Cards in Rural Areas of China: Evidence from Rural China.Dongliang Cai, Jun Ou, Kefei Han & Yang Lyu - 2022 - Complexity 2022:1-11.
    This paper aims to explore whether the usage of credit cards has peer effects in rural areas of China. The results suggest that the usage of credit cards will be affected by the behavior of other farmers; namely, the usage of credit cards has peer effects in rural areas. We also verify that women, older, and low-academic farmers show stronger peer effects. The results emphasize that, compared with the mass farmers and vulnerable farmers, the usage of elite farmers is more (...)
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  58.  13
    Digital Outburst: The Expression of a Social Crisis through Online Social Networks.Juan Pablo Cárdenas, Carolina Urbina, Gerardo Vidal, Gastón Olivares & Miguel Fuentes - 2022 - Complexity 2022:1-15.
    There is a growing concern about the effects that the relationship between the activity of society in the physical world and in the digital world could have. In this study, we address this question in a context of social crisis. Our quantitative and qualitative analysis of the data associated with the critical process suggests a deep and nontrivial relationship between both worlds. Perhaps the most important result refers to the leading role of language, its meaning, and symbolism in the development (...)
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  59.  11
    State of the Art on Artificial Intelligence in Land Use Simulation.M. Luz Castro, Penousal Machado, Iria Santos, Nereida Rodriguez-Fernandez, Alvaro Torrente-Patiño & Adrian Carballal - 2022 - Complexity 2022:1-19.
    This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly focusing on those that are not mentioned in earlier publications. Most of the articles analyzed used a combination of Markov chains and cellular automata to predict the growth of urban areas and metropolitan regions. We noticed that most of these simulations were applied in various areas of China. An (...)
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  60.  10
    Performance Analysis of an Optimized ANN Model to Predict the Stability of Smart Grid.Ayushi Chahal, Preeti Gulia, Nasib Singh Gill & Jyotir Moy Chatterjee - 2022 - Complexity 2022:1-13.
    The stability of the power grid is concernment due to the high demand and supply to smart cities, homes, factories, and so on. Different machine learning and deep learning models can be used to tackle the problem of stability prediction for the energy grid. This study elaborates on the necessity of IoT technology to make energy grid networks smart. Different prediction models, namely, logistic regression, naïve Bayes, decision tree, support vector machine, random forest, XGBoost, k-nearest neighbor, and optimized artificial neural (...)
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  61.  6
    Econometric Modeling to Measure the Efficiency of Sharpe’s Ratio with Strong Autocorrelation Portfolios.Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba & Hanns de la Fuente-Mella - 2022 - Complexity 2022:1-10.
    Sharpe’s ratio is the most widely used index for establishing an order of priority for the portfolios to which the investor has access, and the purpose of this investigation is to verify that Sharpe’s ratio allows decisions to be made in investment portfolios considering different financial market conditions. The research is carried out by autoregressive model of the financial series of returns using Sharpe’s ratio for evaluations looking over the priority of financial assets which the investor can access while observing (...)
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  62.  11
    Adaptive Fuzzy-Sliding Consensus Control for Euler–Lagrange Systems with Time-Varying Delays.Yeong-Hwa Chang, Cheng-Yuan Yang & Hung-Wei Lin - 2022 - Complexity 2022:1-15.
    This paper presents an adaptive fuzzy sliding-mode controller for multiple Euler–Lagrange systems communicated with directed topology. Based on the graph theory and Lyapunov–Krasovskii functions, a delay-dependent sufficient condition for the existence of sliding surfaces is given in terms of linear matrix inequalities. The asymptotic stability is analyzed by using the Lyapunov method in the presence of unknown parametric dynamics, actuator faults, and time-varying delays. The usage of adaptive techniques is to adapt the unknown parameters so that the objective of globally (...)
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  63.  14
    Path–Based Continuous Spatial Keyword Queries.Fangshu Chen, Pengfei Zhang, Chengcheng Yu, Huaizhong Lin, Shan Tang & Xiaoming Hu - 2022 - Complexity 2022:1-19.
    In this paper, we study the path based continuous spatial keyword queries, which find the answer set continuously when the query point moves on a given path. Under this setting, we explore two primitive spatial keyword queries, namely k nearest neighbor query and range query. The technical challenges lie in that: retrieving qualified vertices in large road networks efficiently, and issuing the query continuously for points on the path, which turns out to be inapplicable. To overcome the above challenges, we (...)
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  64.  6
    Admissibility Analysis of a Sampled-Data Singular System Based on the Input Delay Approach.Guoquan Chen, Minjie Zheng, Shenhua Yang & Lina Li - 2022 - Complexity 2022:1-12.
    This study investigates the sampled-data admissibility problem for a singular system. The objective of this paper is to design a sampled-data controller to ensure the admissibility of a singular system and to construct an appropriate Lyapunov–Krasovskii functional to get less conservative results for the sampled-data singular system. To accomplish these objectives, the system is converted into a time-delay system by the input delay approach firstly, and both lower and upper bounds of the delay are considered. Secondly, by introducing a suitable (...)
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  65.  14
    Exhaustive Search and Power-Based Gradient Descent Algorithms for Time-Delayed FIR Models.Hua Chen & Yuejiang Ji - 2022 - Complexity 2022:1-10.
    In this study, two modified gradient descent algorithms are proposed for time-delayed models. To estimate the parameters and time-delay simultaneously, a redundant rule method is introduced, which turns the time-delayed model into an augmented model. Then, two GD algorithms can be used to identify the time-delayed model. Compared with the traditional GD algorithms, these two modified GD algorithms have the following advantages: avoid a high-order matrix eigenvalue calculation, thus, are more efficient for large-scale systems; have faster convergence rates, therefore, are (...)
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  66.  16
    Cryptocurrency Financial Risk Analysis Based on Deep Machine Learning.Si Chen - 2022 - Complexity 2022:1-8.
    Digital currency is considered a form of currency which is used in the digital world such as digital forms or electronic devices. Several terms are synonyms for digital currency like digital money, electronic money, and cyber cash. Accurate prediction of the digital currency is an urgent necessity due to its impacts on the economic community. The electronic economy is very dangerous and must be approached with great caution, so as to avoid or minimize the risks that occur in such cases. (...)
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  67.  24
    Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance.Wen-He Chen, Long-Sheng Cheng, Zhi-Peng Chang, Han-Ting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu & Zong-Xiang Chen - 2022 - Complexity 2022:1-22.
    Photovoltaic power forecasting can provide strong support for the safe operation of the power system. Existing forecasting methods are ineffective for grid scheduling decisions or risk analysis. The novel multicluster interval prediction method is proposed to consider the volatility and randomness of PV power output. First, this method utilizes the sparse autoencoder and Bayesian regularized NARX network for point forecasting of PV power. Second, density peak clustering improved by kernel Mahalanobis distance is applied to classify the dataset into multiple clusters, (...)
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  68.  15
    Reach-Avoid Games with a Time Limit and Detection Range: A Geometric Approach.Xi Chen, Jianqiao Yu, Kang Niu & Jiaxun di YangLi - 2022 - Complexity 2022:1-24.
    The reach-avoid game theory is an ideal tool to handle the conflicts among intelligent agents and has been previously studied assuming full state information and no time limits on the players in the past decades. In this article, we extend the problem by requiring the defender to detect the attacker and adding maximum operation time constraints to the attacker. The attacker aims to reach the target region without being captured or reaching its time limit. The defender can employ strategies to (...)
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  69.  12
    Dynamic Nonlinear Connectedness between the Financial Inclusion, Economic Growth, and China’s Poverty Alleviation: Evidence from a Panel VAR Analysis.Zhenhuan Chen, Hongge Zhu, Wencheng Zhao, Bo Cao & Yingli Cai - 2022 - Complexity 2022:1-24.
    Whether financial inclusion and economic growth can sustainably release poverty alleviation effects in long term has been the focus of academia and government sector. This article uses provincial panel data from 2004 to 2019 to examine the dynamic nonlinear connectedness between the financial inclusion, economic growth, income inequality, and poverty alleviation; the main objective is to reveal the direction and intensity of the long-term and short-term impact of each factor on poverty alleviation. By building a panel vector autoregression model, the (...)
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  70.  15
    Intelligent Supply Chain Management Modules Enabling Advanced Manufacturing for the Electric-Mechanical Equipment Industry.Chun-Hua Chien, Po-Yen Chen, Amy J. C. Trappey & Charles V. Trappey - 2022 - Complexity 2022:1-20.
    Electric-mechanical equipment manufacturing industries focus on the implementation of intelligent manufacturing systems in order to enhance customer services for highly customized machines with high-profit margins such as electric power transformers. Intelligent manufacturing consists in using supply chain data that are integrated for smart decision making during the production life cycle. This research, in cooperation with a large electric power transformer manufacturer, provides an overview of critical intelligent manufacturing technologies. An ontology schema forms the terminology relationships needed to build two intelligent (...)
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  71.  12
    Discovering Organizational Hierarchy through a Corporate Ranking Algorithm: The Enron Case.Germán G. Creamer, Salvatore J. Stolfo, Mateo Creamer, Shlomo Hershkop & Ryan Rowe - 2022 - Complexity 2022:1-18.
    This paper proposes the CorpRank algorithm to extract social hierarchies from electronic communication data. The algorithm computes a ranking score for each user as a weighted combination of the number of emails, the number of responses, average response time, clique scores, and several degree and centrality measures. The algorithm uses principal component analysis to calculate the weights of the features. This score ranks users according to their importance, and its output is used to reconstruct an organization chart. We illustrate the (...)
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  72.  15
    Bayesian Hierarchical Compositional Models for Analysing Longitudinal Abundance Data from Microbiome Studies.I. Creus Martí, A. Moya & F. J. Santonja - 2022 - Complexity 2022:1-16.
    Gut microbiome plays a significant role in defining the health status of subjects, and recent studies highlight the importance of using time series strategies to analyse microbiome dynamics. In this paper, we develop a Bayesian model for microbiota longitudinal data, based on Dirichlet distribution with time-varying parameters, that take into account the compositional paradigm and consider principal balances. The proposed model can be effective for predicting the future dynamics of a microbial community in the short term and for analysing the (...)
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  73.  10
    Workforce Participation, Ageing, and Economic Welfare: New Empirical Evidence on Complex Patterns across the European Union.Mirela S. Cristea, Marilen G. Pirtea, Marta C. Suciu & Gratiela G. Noja - 2022 - Complexity 2022:1-13.
    The ageing population has become one of the major issues, with manifold consequences upon the economic welfare and elderly living standards satisfaction. This paper grasps an in-depth assessment framework of the ageing phenomenon in connection with the labor market, with significant implications upon economic welfare, across the European Union. We configure our research on four distinctive groups of the EU–27 countries based on the Active Ageing Index mapping, during 1995–2018, by acknowledging the different intensities of ageing implications on economic well-being (...)
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  74.  11
    Information Propagation Influenced by Population Heterogeneity Behavioral Adoption on Weighted Network.Yajuan Cui, Yang Tian, Hui Tian, Gaofeng Nie & Shaoshuai Fan - 2022 - Complexity 2022:1-11.
    In the realistic world, various individuals have distinct personalities, preferences, and attitudes toward new information and behavior acceptance, called population heterogeneity. It is seldom taken into account and theoretically analyzed in information propagation on a weighted network. Therefore, we divide individuals into fashionable and conservative individuals according to their passion degree and willingness for novel behaviors acceptance. Then, we build two behavior adoption threshold models corresponding to fashionable and conservative individuals on the weighted network to explore the effect of population (...)
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  75.  13
    A Weighted Statistical Network Modeling Approach to Product Competition Analysis.Yaxin Cui, Faez Ahmed, Zhenghui Sha, Lijun Wang, Yan Fu, Noshir Contractor & Wei Chen - 2022 - Complexity 2022:1-16.
    Statistical network models have been used to study the competition among different products and how product attributes influence customer decisions. However, in existing research using network-based approaches, product competition has been viewed as binary, while in reality, the competition strength may vary among products. In this paper, we model the strength of the product competition by employing a statistical network model, with an emphasis on how product attributes affect which products are considered together and which products are ultimately purchased by (...)
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  76.  12
    The Impact of Urban-Rural Income Inequality on Environmental Quality in China.Fan de XiaoYu & Hong Yang - 2022 - Complexity 2022:1-14.
    As the per capita income level increases, both environmental quality and income inequality will change significantly, which arouses people’s attention on the relationship between income inequality and environmental quality. Based on mathematical derivations, we first prove that when the relationship between per capita income and environmental pollution is nonlinear, and environmental pollution is not only related to per capita income, but also, among other potential determinants, to income inequality. Then, we use the two-way fixed estimator to estimate the impact of (...)
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  77.  14
    Audio and Video Matching Zero-Watermarking Algorithm Based on NSCT.Wenxue di FanSun, Huiyuan Zhao, Wenshuo Kang & Changzhi Lv - 2022 - Complexity 2022:1-14.
    In the Internet age, information security is threatened anytime and anywhere and the copyright protection of audio and video as well as the need for matching detection is increasingly strong. In view of this need, this paper proposes a zero-watermarking algorithm for audio and video matching based on NSCT. The algorithm uses NSCT, DCT, SVD, and Schur decomposition to extract video features and audio features and generates zero-watermark stream through synthesis, which is stored in a third-party organization for detection and (...)
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  78.  13
    Spatial Pattern and Evolution of Global Innovation Network from 2000 to 2019: Global Patent Dataset Perspective.Yuna Di, Yi Zhou, Lu Zhang, Galuh Syahbana Indraprahasta & Jinjin Cao - 2022 - Complexity 2022:1-11.
    In the era of the knowledge economy, the improvement of national innovation systems is playing a significant role in the global entrepreneurship ecosystem. Entrepreneurs are accelerating international intellectual property applications to be competitive. What remains to be explored is the evolution of international intellectual property network in the globe. With the application of social network analysis and intellectual property application database, the global innovation network structure from 2000 to 2019 is explored. Results showed that in the period 2000–2019, the global (...)
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  79.  12
    Applying Noise-Based Reverse Correlation to Relate Consumer Perception to Product Complex Form Features.Jose Antonio Diego-Mas, Jorge Alcaide-Marzal & Rocio Poveda-Bautista - 2022 - Complexity 2022:1-10.
    Consumer behavior knowledge is essential to designing successful products. However, measuring subjective perceptions affecting this behavior is a complex issue that depends on many factors. Identifying visual cues elicited by the product’s appearance is key in many cases. Marketing research on this topic has produced different approaches to the question. This paper proposes the use of Noise-Based Reverse Correlation techniques in the identification of product form features carrying a particular semantic message. This technique has been successfully utilized in social sciences (...)
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  80.  12
    The Impact of COVID-19 Crisis on Stock Markets’ Statistical Complexity.Bogdan Dima, Stefana Maria Dima & Roxana Ioan - 2022 - Complexity 2022:1-15.
    The spread of the COVID-19 pandemic has severely impacted all aspects of social and economic life, including the evolution of stock markets. Thus, we advance a methodological framework suitable for assessing 2020 year-long shifts in markets’ statistical complexity, and we apply such framework to ten major international developed or emerging stock markets. Our research reveals that this crisis had considerably altered markets’ evolutionary patterns. The network description of markets’ multivocal transmission of complex responses changed in 2020, European and Asian markets (...)
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  81.  12
    Robustness Analysis of the Regional and Interregional Components of the Weighted World Air Transportation Network.Issa Moussa Diop, Cherif Diallo, Chantal Cherifi & Hocine Cherifi - 2022 - Complexity 2022:1-17.
    The robustness of a system indicates its ability to withstand disturbances while maintaining its properties, performance, and efficiency. There are plenty of studies on the robustness of air transport networks in the literature. However, few works consider its mesoscopic organization. Building on the recently introduced component structure, we explore the impact of targeted attacks on the weighted world air transportation network on its components. Indeed, it contains five local components covering different regions and one global component linking these regions. We (...)
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  82.  11
    A Comparative Study of Some Point Process Models for Dynamic Networks.S. Haleh S. Dizaji, Saeid Pashazadeh & Javad Musevi Niya - 2022 - Complexity 2022:1-21.
    Modeling dynamic networks has attracted much interest in recent years, which helps understand networks’ behavior. Many works have been dedicated to modeling discrete-time networks, but less work is done for continuous-time networks. Point processes as powerful tools for modeling discrete events in continuous time have been widely used for modeling events over networks and their dynamics. These models have solid mathematical assumptions, making them interpretable but decreasing their generalizability for different datasets. Hence, neural point processes were introduced that don’t have (...)
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  83.  41
    Multifractal Early Warning Signals about Sudden Changes in the Stock Exchange States.Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov & Victor Dmitriev - 2022 - Complexity 2022:1-10.
    Critical phenomena in stock exchange are regularly occurring and difficult to predict events, often leading to disastrous consequences. The presented paper is devoted to the search and research of early warning signals of critical transitions in stock exchange based on the results of a multifractal analysis of a series of transactions in shares of public companies. We have proposed and justified the use of certain features of behavior of multifractal spectrum shape parameters such as signals. As model time series, on (...)
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  84.  6
    Allocating Defense and Recovery Resources for Spatial Networks against Cascading Failures.Zhengcheng Dong & Meng Tian - 2022 - Complexity 2022:1-13.
    This paper proposes the models of allocating defense and recovery resources for spatially embedded networks, respectively, both of which consider the length of links as the allocation cost. In the defense model, the amount of defense resources required for each zone depends on the total length of the links they contain. It is found that dispersed allocation performs better and that parameters that allow for a uniform distribution of link lengths produce better results. In the recovery model, a shortest link (...)
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  85.  9
    Independent Innovation Incentive Mechanism of the National Independent Innovation Demonstration Zone of China Based on Evolutionary Game.Peijie Du, Kang Tian & Yanrong Wang - 2022 - Complexity 2022:1-18.
    Considering the reward and punishment mechanism of the management committee and the complexity of innovation path selection of high-tech and general enterprises, this paper constructs an evolutionary game model of independent innovation incentive mechanism in the National Independent Innovation Demonstration Zone of China. Meanwhile, the equilibrium points of the strategy selection are solved for the three. In addition, this paper adopts numerical simulation to analyze the influence of each decision variable on different players’ strategic selections. The results show that the (...)
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  86.  12
    Ecological Security Evaluation for Marine Ranching Based on the PLTS/ANP Method: A Case Study of Rongcheng.Yuan-Wei Du & Qiong Song - 2022 - Complexity 2022:1-16.
    The evaluation index system of ecological security of marine ranching is based on the assumption that there is independence among evaluation indexes in the existing studies, which ignores the complex interactive paths of marine ranching as an artificial ecosystem. In this study, the MRES evaluation network model that includes interdependent relationships is established based on the Driver-Pressure-State-Impact-Response model and the analytic network process method. Then, the probabilistic linguistic term sets and analytic network process methods are used to calculate the weights (...)
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  87.  13
    Multiscale Tail Risk Connectedness of Global Stock Markets: A LASSO-Based Network Topology Approach.Yuting Du, Xu Zhang, Zhijing Ding & Xian Yang - 2022 - Complexity 2022:1-17.
    Due to the advent of deglobalization and regional integration, this article aims to adopt LASSO-based network connectedness to estimate the multiscale tail risk spillover effects of global stock markets. The results show that tail risk varies across frequencies and shocks. In static analysis, the risk is centered mostly on the developed European and North American markets at a low frequency, and regionalization is imposed on the moderate frequency. Moreover, emerging markets could be sources of risk spillover, especially at the highest (...)
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  88.  21
    Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks.Huu-Thanh Duong, Tram-Anh Nguyen-Thi & Vinh Truong Hoang - 2022 - Complexity 2022:1-14.
    The annotated dataset is an essential requirement to develop an artificial intelligence system effectively and expect the generalization of the predictive models and to avoid overfitting. Lack of the training data is a big barrier so that AI systems can broaden in several domains which have no or missing training data. Building these datasets is a tedious and expensive task and depends on the domains and languages. This is especially a big challenge for low-resource languages. In this paper, we experiment (...)
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  89.  12
    Comparative Analysis of TOPSIS and TODIM for the Performance Evaluation of Foreign Players in Indian Premier League.Vaishnudebi Dutta, Subhomoy Haldar, Prabjot Kaur & Yuvraj Gajpal - 2022 - Complexity 2022:1-20.
    Sports officials, players, and fans are concerned about overseas player rankings for the IPL auction. These rankings are becoming progressively essential to investors when premium leagues are commercialized. The decision-makers of the Indian Premier League choose cricketers based on their own experience in sports and based on performance statistics on several criteria. This paper presents a scientific way to rank the players. Our research examines and contrasts different multicriteria decision-making algorithms for ranking foreign players under various criteria to assess their (...)
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  90.  18
    Ontology of Mathematical Modeling Based on Interval Data.Mykola Dyvak, Andriy Melnyk, Artur Rot, Marcin Hernes & Andriy Pukas - 2022 - Complexity 2022:1-19.
    An ontological approach as a tool for managing the processes of constructing mathematical models based on interval data and further use of these models for solving applied problems is proposed in this article. Mathematical models built using interval data analysis are quite effective in many applications, as they have “guaranteed” predictive properties, which are determined by the accuracy of experimental data. However, the application of mathematical modeling methods is complicated by the lack of software tools for the implementation of procedures (...)
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  91.  38
    Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution.Magdy E. El-Adll, H. M. Barakat & Amany E. Aly - 2022 - Complexity 2022:1-15.
    When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...)
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  92.  17
    The Effect of Specific Risk in Various Stages of the Life Cycle of Companies Listed on the Tehran Stock Exchange.Mostafa Ebadi, Kaveh Azinfar, Iman Dadashi & Reza Fallah - 2022 - Complexity 2022:1-9.
    This research aims to examine the specific risk of companies and their effectiveness in various stages of the company life cycle on state and nonstate ownership. For this purpose, the specific risk was estimated using Fama and French three-factor models, and the research objective was examined by considering the data panel model during the period 2015 to 2020 in a statistical sample consisting of 136 companies active in the Tehran Stock Exchange. For this purpose, the main contribution of research is (...)
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  93.  12
    Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection.Sajad Einy, Hasan Saygin, Hemrah Hivehch & Yahya Dorostkar Navaei - 2022 - Complexity 2022:1-11.
    A brain tumor is an abnormal mass or growth of a cell that leads to certain death, and this is still a challenging task in clinical practice. Early and correct diagnosis of this type of cancer is very important for the treatment process. For this reason, this study aimed to develop computer-aided systems for the diagnosis of brain tumors. In this research, we proposed three different end-to-end deep learning approaches for analyzing effects of local and deep features for brain MRI (...)
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  94.  12
    Forecasting Methods in Various Applications Using Algorithm of Estimation Regression Models and Converting Data Sets into Markov Model.Mohammed M. El Genidy & Mokhtar S. Beheary - 2022 - Complexity 2022:1-20.
    Water quality control helps in the estimation of water bodies and detects the span of pollutants and their effect on the neighboring environment. This is why the water quality of the northern part of Lake Manzala has been studied here from January to March, 2016. This study aims to model and create a program for linear and nonlinear regression of the water elements in Lake Manzala to assess and predict the water quality. Water samples have been extracted from various depths, (...)
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  95.  12
    The Power of Delay on a Stochastic Epidemic Model in a Switching Environment.Amine El Koufi - 2022 - Complexity 2022:1-9.
    In recent years, the world knew many challenges concerning the propagation of infectious diseases such as avian influenza, Ebola, SARS-CoV-2, etc. These epidemics caused a change in the healthy balance of humanity. Also, the epidemics disrupt the economies and social activities of countries around the world. Mathematical modeling is a vital means to represent and control the propagation of infectious diseases. In this paper, we consider a stochastic epidemic model with a Markov process and delay, which generalizes many models existing (...)
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  96.  7
    Asymptotic Prediction for Future Observations of a Random Sample of Unknown Continuous Distribution.Magdy El-Adll, H. M. Barakat & Amany Aly - 2022 - Complexity 2022:1-15.
    When the first r lower extreme order statistics of a sample of large size n, 1 < r < s < n, are observed, asymptotic predictive intervals of the future extreme order statistic with a rank s are constructed. The only assumption that we adopt is that the first failure time is attracted to the Weibull distribution. In addition, we suggest an efficient point estimator of its shape parameter and then a confidence interval is constructed for it. Moreover, new interesting (...)
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  97.  10
    Chaotic Fruit Fly Algorithm for Solving Engineering Design Problems.M. A. El-Shorbagy - 2022 - Complexity 2022:1-19.
    The aim of this article is to present a chaotic fruit fly algorithm as an optimization approach for solving engineering design problems. In CFFA, the fruit fly algorithm, which is recognized for its durability and efficiency in addressing optimization problems, was paired with the chaotic local search method, which allows for local exploitation. CFFA will be set up to work in two phases: in the first, FFA will be used to discover an approximate solution, and in the second, chaotic local (...)
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  98.  14
    Segmentation of Activated Sludge Flocs in Microscopic Images for Monitoring Wastewater Treatment.Ahmed Elaraby, Walid Hamdy, Humaira Nisar & Monagi H. Alkinani - 2022 - Complexity 2022:1-10.
    The proposed work describes an approach for segmentation of activated sludge flocs from the microscopic images for monitoring wastewater treatment. The morphological features of flocs and filaments are related to the state of an activated sludge wastewater treatment plant and must be monitored for proper functioning. Hence, image processing and analysis could be a time-saving monitoring tool. To address this challenge, we propose a novel framework involving a multiphase edge detection algorithm based on information theory. The proposed framework is evaluated (...)
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  99.  7
    On Statistical Properties of a New Bivariate Modified Lindley Distribution with an Application to Financial Data.Ahmed Elhassanein - 2022 - Complexity 2022:1-19.
    There is an increasing interest in expanding the one-parameter Lindley distribution to two-parameter, three-parameter, and five-parameter. The univariate one-parameter Lindley distribution is still one of the most applicable distributions in data analysis especially in lifetime data. Modeling dependent random quantities required bivariate parametric probability distributions. This study presents a new bivariate three-parameter probability distribution called bivariate modified Lindley distribution. The one-parameter modified Lindley distribution is used as a base line to construct the new model. Its statistical properties including cumulative function, (...)
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  100.  14
    Estimation for Parameters of Life of the Marshall-Olkin Generalized-Exponential Distribution Using Progressive Type-II Censored Data.Ahmed Elshahhat, Abdisalam Hassan Muse, Omer Mohamed Egeh & Berihan R. Elemary - 2022 - Complexity 2022:1-36.
    A new three-parameter extension of the generalized-exponential distribution, which has various hazard rates that can be increasing, decreasing, bathtub, or inverted tub, known as the Marshall-Olkin generalized-exponential distribution has been considered. So, this article addresses the problem of estimating the unknown parameters and survival characteristics of the three-parameter MOGE lifetime distribution when the sample is obtained from progressive type-II censoring via maximum likelihood and Bayesian approaches. Making use of the s-normality of classical estimators, two types of approximate confidence intervals are (...)
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  101.  10
    Filling Control of a Conical Tank Using a Compact Neuro-Fuzzy Adaptive Control System.Helbert Espitia-Cuchango, Iván Machón-González & Hilario López-García - 2022 - Complexity 2022:1-17.
    This document describes the implementation of a conical tank control system using an adaptive neurofuzzy system. For implementation, an indirect approach is used where the controller is optimized using the model obtained during the plant identification carried out using data obtained during the system operation. Furthermore, implementation includes training of neuro fuzzy-systems and application to control a conical tank. Regarding plant identification, preliminary training takes place using data obtained for different input values. The controller configuration is established considering the analogy (...)
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  102.  15
    Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate.Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem & Ahmed A. Ewees - 2022 - Complexity 2022:1-22.
    The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive regression (...)
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  103.  60
    River Segmentation of Remote Sensing Images Based on Composite Attention Network.Zhiyong Fan, Jianmin Hou, Qiang Zang, Yunjie Chen & Fei Yan - 2022 - Complexity 2022:1-13.
    River segmentation of remote sensing images is of important research significance and application value for environmental monitoring, disaster warning, and agricultural planning in an area. In this study, we propose a river segmentation model in remote sensing images based on composite attention network to solve the problems of abundant river details in images and the interference of non-river information including bridges, shadows, and roads. To improve the segmentation efficiency, a composite attention mechanism is firstly introduced in the central region of (...)
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  104.  16
    New Variant of SARS-CoV-2 Dynamics with Imperfect Vaccine.Taye Samuel Faniran, Aatif Ali, Nawal E. Al-Hazmi, Joshua Kiddy K. Asamoah, Taher A. Nofal & Matthew O. Adewole - 2022 - Complexity 2022:1-17.
    The occurrence of a new strain of SARS-CoV-2 cannot be ruled out. Therefore, this study seeks to investigate the possible effects of a hypothetical imperfect anti-COVID-19 vaccine on the control of not only the first variant of SARS-CoV-2 but also the second variant of SARS-CoV-2. We further examine the rates and a, escape of quarantined infectious individuals from isolation centers. The control R c and basic reproduction numbers R 0 are computed which gives assess to obtain asymptotic stability of disease-free (...)
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  105.  16
    A Mixed Integer Linear Formulation and a Grouping League Championship Algorithm for a Multiperiod-Multitrip Order Picking System with Product Replenishment to Minimize Total Tardiness.Morteza Farhadi Sartangi, Ali Husseinzadeh Kashan, Hassan Haleh & Abolfazl Kazemi - 2022 - Complexity 2022:1-24.
    Order picking, which is collecting a set of products from different locations in a warehouse, has repeatedly been described as one of the most laborious and time-consuming internal logistic processes. Each order is issued to pick some products located at given locations in the warehouse. In this paper, we consider an order picking problem, in which a number of orders with different delivery due dates are going to be retrieved by a limited number of order pickers in multiperiods such that (...)
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  106. Modelling and Analysis of Virotherapy of Cancer Using an Efficient Hybrid Soft Computing Procedure.M. Fawad Khan, Ebenezer Bonyah, Fahad Sameer Alshammari, Syed Muhammad Ghufran & Muhammad Sulaiman - 2022 - Complexity 2022:1-29.
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  107.  9
    Decision Model of Contract-Farming Supply Chain Considering Producer’s Fairness Concerns under Random Yield.Yangang Feng, Rui Chen & Lin He - 2022 - Complexity 2022:1-8.
    Supply chain management is critical for addressing uncertainties caused by random demand and production yield. In this study, a random yield supply chain, in which the production process of fresh agricultural products is easily affected by factors, such as weather, soil, or plant diseases and insect pests, was considered. Therefore, the actual output is typically less than the planned output. A model in which the producer faces yield uncertainty was considered, and the influence of the producer’s fairness concerns on the (...)
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  108.  12
    Pricing and Coordination of Remanufacturing Supply Chain with Government Participation considering Consumers’ Preferences and Quality of Recycled Products.Yanhua Feng, Xuhui Xia, Xinyi Yin, Lei Wang & Zelin Zhang - 2022 - Complexity 2022:1-25.
    Remanufacturing has become an important way to realize sustainable development strategy. For remanufacturing closed-loop supply chain under different circumstances, many factors are considered, such as consumers’ different preferences for the purchase and payment of remanufactured products and the quality of recycled products. In this study, three models are presented for supply chain system, including a manufacturer lead and a retailer recycle. While nongovernment participation and non-supply-chain coordination are considered in model I, model II has government participation but non-supply-chain coordination, and (...)
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  109.  8
    Public Policy Modeling and Applications 2021.Miguel Fuentes, Claudio J. Tessone & Bernardo Alves Furtado - 2022 - Complexity 2022:1-3.
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  110.  7
    Influential Nodes in the OBOR Fossil Energy Trade Network Based on D-S Theory: Detection and Evolution Analysis.Cuixia Gao, Simin Tao, Kehu Li & Yuyang He - 2022 - Complexity 2022:1-16.
    The structure formed by fossil energy trade among countries can be divided into multiple subcommodity networks. However, the difference of coupling mode and transmission mechanism between layers of the multirelationship network will affect the measurement of node importance. In this paper, a framework of multisource information fusion by considering data uncertainty and the classical network centrality measures is build. Then, the evidential centrality indicator is proposed, by integrating Dempster–Shafer evidence theory and network theory, to empirically identify influential nodes of fossil (...)
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  111.  26
    Multifactor Stock Selection Strategy Based on Machine Learning: Evidence from China.Jieying Gao, Huan Guo & Xin Xu - 2022 - Complexity 2022:1-17.
    Machine learning methods have been used in multifactor stock strategy for years. This paper uses three machine learning methods and linear regression method to find the most appropriate approach. First, a framework is established and 10 style factors and 30 industry factors are chosen. Second, four methods are used to forecast portfolio returns and compared by predicting returns, successful rate, and Sharpe ratio. Finally, this paper draws conclusion. The main findings are as follows: the support vector regression has the most (...)
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  112.  15
    Structural Evolution of Regional Firm Network System under the Influence of Industrial transfer: A Case Study of the Refrigeration Industrial Cluster of Minquan County.Shang Gao, Zhao Ran, Yating Li & Shaoqi Pan - 2022 - Complexity 2022:1-13.
    The transplanted firm is an important force to promote the network evolution and cluster transformation and upgrading of the undertaking firm. From the micro-analytic perspective of firm network, this paper puts forward a theoretical framework with “relationship-network-evolution” as the main line. Taking the refrigeration industry cluster in Minquan County of China as a case study and keeping the firm networks of economic relation, technical cooperation, and social communication firm network in 2009, 2013, and 2017 as the research objects, this paper (...)
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  113.  19
    An Improved Image Processing Based on Deep Learning Backpropagation Technique.Yang Gao & Yue Tian - 2022 - Complexity 2022:1-10.
    In terms of image processing, encryption plays the main role in the field of image transmission. Using one algorithm of deep learning, such as neural network backpropagation, increases the performance of encryption by learning the parameters and weights derived from the image itself. The use of more than one layer in the neural network improves the performance of the algorithm. Also, in the process of image encryption, randomness is an important component, especially when used by smart learning methods. Deep neural (...)
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  114.  13
    A New Fractional-Order Map with Infinite Number of Equilibria and Its Encryption Application.Ahlem Gasri, Amina-Aicha Khennaoui, Adel Ouannas, Giuseppe Grassi, Apostolos Iatropoulos, Lazaros Moysis & Christos Volos - 2022 - Complexity 2022:1-18.
    The study of the chaotic dynamics in fractional-order discrete-time systems has received great attention over the last years. Some efforts have been also devoted to analyze fractional maps with special features. This paper makes a contribution to the topic by introducing a new fractional map that is characterized by both particular dynamic behaviors and specific properties related to the system equilibria. In particular, the conceived one dimensional map is algebraically simpler than all the proposed fractional maps in the literature. Using (...)
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  115.  21
    New Approach in Fixed Resource Allocation and Target Setting Using Data Envelopment Analysis with Common Set of Weights.Marzieh Ghasemi, Mohammad Reza Mozaffari, Farhad Hosseinzadeh Lotfi, Mohsen Rostamy Malkhalifeh & Mohammad Hasan Behzadi - 2022 - Complexity 2022:1-11.
    One of the mathematical programming techniques is data envelopment analysis, which is used for evaluating the efficiency of a set of similar decision-making units. Fixed resource allocation and target setting with the help of DEA is a subject that has gained much attention from researchers. A new model was proposed by determining a common set of weights. All DMUs were involved with the aim of achieving higher efficiency in every DMU after the procedure. The minimum resources and targets allocated to (...)
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  116.  11
    Application of Transcendental Bernstein Polynomials for Solving Two-Dimensional Fractional Optimal Control Problems.Fateme Ghomanjani, Samad Noeiaghdam & Sanda Micula - 2022 - Complexity 2022:1-10.
    The aim of this study is to introduce a novel method to solve a class of two-dimensional fractional optimal control problems. Since there are some difficulties solving these problems using analytical methods, thus finding numerical methods to approximate their solution is a challenging topic. In this study, we use transcendental Bernstein series. In fact, for solving the problem, we generalize the Bernstein polynomials to a larger class of functions which can provide more accurate approximate solutions. The convergence theorem is proved. (...)
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  117.  17
    Friend Recommender System for Social Networks Based on Stacking Technique and Evolutionary Algorithm.Aida Ghorbani, Amir Daneshvar, Ladan Riazi & Reza Radfar - 2022 - Complexity 2022:1-11.
    In recent years, social networks have made significant progress and the number of people who use them to communicate is increasing day by day. The vast amount of information available on social networks has led to the importance of using friend recommender systems to discover knowledge about future communications. It is challenging to choose the best machine learning approach to address the recommender system issue since there are several strategies with various benefits and drawbacks. In light of this, a solution (...)
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  118.  7
    Long Memory and Fractality in the Universe of Volatility Indices.Bikramaditya Ghosh & Elie Bouri - 2022 - Complexity 2022:1-8.
    Unlike previous studies that consider the Chicago Board of Options Exchange implied volatility index, we examine long memory and fractality in the universe of nine CBOE volatility indices. Using daily data from October 5, 2007, to October 5, 2020, covering calm and crisis periods, we find evidence of long memory and fractality in all indices and a change in the degree of volatility persistence, which points to inefficiency. The long memory of the SKEW index is strong before the onset of (...)
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  119.  10
    The Catastrophe Analysis of Shanghai Crude Oil Futures Price from the Perspective of Volatility Factors.Weifeng Gong, Yahui Li, Chuanhui Wang, Haixia Zhang & Zhengjie Zhai - 2022 - Complexity 2022:1-12.
    The volatility of Shanghai crude oil futures prices is researched in this paper. The cusp catastrophe analysis of Shanghai crude oil futures price is based on the perspective of volatility influencing factors. Some important factors are selected based on commodity attributes and financial attributes, including certain China’s macrofactors, such as producer price index and macroeconomic prosperity index. The principal component analysis is used to process the factors. The control variables of the cusp catastrophe model are extracted. The discriminant of the (...)
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  120.  9
    Priority Roles of Stakeholders for Overcoming the Barriers to Implementing Education 4.0: An Integrated Fermatean Fuzzy Entropy-Based CRITIC-CODAS-SORT Approach. [REVIEW]Roselyn Gonzales, Rose Mary Almacen, Gamaliel Gonzales, Felix Costan, Decem Suladay, Lynne Enriquez, Emily Costan, Nadine May Atibing, Joerabell Lourdes Aro, Samantha Shane Evangelista, Fatima Maturan, Egberto Selerio & Lanndon Ocampo - 2022 - Complexity 2022:1-23.
    This work defines various stakeholder roles to overcome the barriers to implementing Education 4.0, which were recently identified in the domain literature. The stakeholder roles are evaluated against these barriers, and such evaluation is structured as a multicriteria sorting problem. To this end, an integrated entropy-based CRITIC-CODAS-SORT under a Fermatean fuzzy environment addresses epistemic uncertainties inherent in decision-making. The FF CRITIC assigns the priority weights of the barriers, while the FF CODAS-SORT determines the high-priority stakeholder roles. A case of an (...)
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  121.  3
    Dynamics of Multimodal Families of m-Modal Maps.S. González-Salas, B. B. Cassal-Quiroga, J. Tuxpan & E. Campos - 2022 - Complexity 2022:1-13.
    In this work, we introduce families of multimodal maps based on logistic map, i.e., families of m-modal maps are defined on an interval I ⊂ ℝ, which is partitioned into non-uniform subdomains, with m ∈ ℕ. Because the subdomains of the partition are not uniform, each subdomain contains a unimodal map, given by the logistic map, that can have different heights. Therefore, we give the necessary and sufficient conditions for these modal maps present a multimodal family of m-modal maps, i.e., (...)
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  122.  13
    Design and Implementation of Brain Tumor Segmentation and Detection Using a Novel Woelfel Filter and Morphological Segmentation.M. Venu Gopalachari, Morarjee Kolla, Rupesh Kumar Mishra & Zarin Tasneem - 2022 - Complexity 2022:1-9.
    Neuroimaging is critical in the diagnosis and treatment of brain cancers; however, the first detection of tumors is a challenge. Detection techniques like image segmentation are heavily reliant on the segmented image’s resolution. Magnetic resonance imaging tumor segmentation has emerged as a new study area in the medical imaging field. This spongy and delicate mass of tissue is the brain. Stable conditions allow for patterns to enter and interact with each other. To put it simply, a tumor is a mass (...)
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  123.  14
    Computing Some Degree-Based Topological Indices of Honeycomb Networks.Lili Gu, Shamaila Yousaf, Akhlaq Ahmad Bhatti, Peng Xu & Adnan Aslam - 2022 - Complexity 2022:1-13.
    A topological index is a numeric quantity related with the chemical composition claiming to correlate the chemical structure with different chemical properties. Topological indices serve to predict physicochemical properties of chemical substance. Among different topological indices, degree-based topological indices would be helpful in investigating the anti-inflammatory activities of certain chemical networks. In the current study, we determine the neighborhood second Zagreb index and the first extended first-order connectivity index for oxide network O X n, silicate network S L n, chain (...)
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  124.  7
    Analysis of the Spatial Characteristics and Influencing Factors of e-Commerce Industrial Chains from the Perspective of Embeddedness: Taking Xiong’an New Area in China as an Example.Yifan Gu & Jianghui Ding - 2022 - Complexity 2022:1-15.
    e-commerce has promoted the application of the Internet by traditional enterprises. While this phenomenon has deepened industrial embeddedness, it has also profoundly affected the development of traditional manufacturing and retail industries. Based on the embeddedness theory, this paper takes the e-commerce industrial chain in Xiong’an New Area of China as an example, uses location entropy method and local spatial autocorrelation to analyze its spatial characteristics and influencing factors, and also discusses the features of embeddedness from each dimension of industrial chains. (...)
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  125.  47
    Emergency Project Management Decision Support Algorithm for Network Public Opinion Emergencies Based on Time Series.Gaohuizi Guo, Cuiyou Yao & Mehrdad Shoeibi - 2022 - Complexity 2022:1-9.
    The present study aims at proposing a time series-based network public opinion emergency management decision support algorithm for the problems of low decision accuracy and long decision time in traditional similar algorithms. In this proposed algorithm, after the time series data are preprocessed, the association rules of the original indicator data of network public opinion emergencies are mined, the original indicator data matrix of NPOEs will be constructed, and the improved local linear embedding approach will be employed to obtain the (...)
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  126.  12
    An Aggregating Prediction Model for Management Decision Analysis.Jianhong Guo, Che-Jung Chang, Yingyi Huang & Xiaotian Zhang - 2022 - Complexity 2022:1-7.
    Facing an increasingly competitive market, enterprises need correct decisions to solve operational problems in a timely manner to maintain their competitive advantages. In this context, insufficient information may lead to an overfitting phenomenon in general mathematical modeling methods, making it difficult to ensure good analytical performance. Therefore, it is important for enterprises to be able to effectively analyze and make predictions using small data sets. Although various approaches have been developed to solve the problem of prediction, their application is often (...)
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  127.  8
    Research on Urban Expansion and Population Density Change of an Urban Agglomeration in the Central-Southern Region of Liaoning Province, China.Min Guo & Shijun Wang - 2022 - Complexity 2022:1-13.
    The relationship between urban expansion and population density changes is complex and plays a fundamental role in urban sustainable development research. This relationship has been studied in multiple large cities. However, there is no report of the relationship of the two factors mentioned above in urban agglomeration in a particular region of China. Ten cities located in the central-southern region of Liaoning province are selected as research samples in this study. The spatial growth rate and urban compactness index of the (...)
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  128.  16
    Numerical Approach for Solving the Fractional Pantograph Delay Differential Equations.Jalal Hajishafieiha & Saeid Abbasbandy - 2022 - Complexity 2022:1-10.
    A new class of polynomials investigates the numerical solution of the fractional pantograph delay ordinary differential equations. These polynomials are equipped with an auxiliary unknown parameter a, which is obtained using the collocation and least-squares methods. In this study, the numerical solution of the fractional pantograph delay differential equation is displayed in the truncated series form. The upper bound of the solution as well as the error analysis and the rate of convergence theorem are also investigated in this study. In (...)
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  129. Information Diffusion Model of Social Bots: An Analysis of the Spread of Coverage of China Issues by The New York Times on Twitter.Na Han, Hebo Huang, Jianjun Wang, Bin Shi & Li Ren - 2022 - Complexity 2022:1-9.
    Social-bots-mediated information manipulation is influencing the public opinion environment, and their role and behavior patterns in news proliferation are worth exploring. Based on the analysis of bots' posting frequency, influence, and retweeting relationship, we take the diffusion of The New York Times' coverage of Xinjiang issue on the overseas social platform Twitter as an example and employ the two-step flow model. It is found that in the role of second-step diffusion, unlike posting news indiscriminately in first-step diffusion, social bots are (...)
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  130.  19
    Employing Machine Learning-Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types.Muhammad Kashif Hanif, Naba Ashraf, Muhammad Umer Sarwar, Deleli Mesay Adinew & Reehan Yaqoob - 2022 - Complexity 2022:1-10.
    Autism spectrum disorder is an inherited long-living and neurological disorder that starts in the early age of childhood with complicated causes. Autism spectrum disorder can lead to mental disorders such as anxiety, miscommunication, and limited repetitive interest. If the autism spectrum disorder is detected in the early childhood, it will be very beneficial for children to enhance their mental health level. In this study, different machine and deep learning algorithms were applied to classify the severity of autism spectrum disorder. Moreover, (...)
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  131.  13
    Dynamics of Positive Frequency Dependent Selection Triggers Selection for Silence.I. Hashem, V. De Buck & J. Van Impe - 2022 - Complexity 2022:1-11.
    Positive frequency dependent selection is a natural selection regime where the fitness of a phenotype increases with its frequency in the population. Examples can be typically found in the spread of disease tolerance strategies in a population. A characterizing feature of PFDS is that the focal allele may experience favorable selection only when it becomes more frequent in the population, while being selected against when it is rare. In this paper, by applying a solution concept from evolutionary game theory, we (...)
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  132.  7
    Suppression of Quadruped Robot Body Disturbance by Virtual Spring-Damping Model.JingYe He, JunPeng Shao, BingWei Gao, BingYi Miao & Xuan Shao - 2022 - Complexity 2022:1-12.
    The quadruped robot is subject to self and external interference during the running process. In this paper, in order to improve the stability of the quadruped robot, a disturbance suppression strategy based on the kinematic model and the virtual model is proposed. Through the whole-body kinematics modeling of the body, the cause of the disturbance is analyzed. At the same time, two spring-damping virtual elements are introduced on the body. The virtual force generated by the spring-damping model is according to (...)
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  133.  16
    A Chinese Named Entity Recognition Model of Maintenance Records for Power Primary Equipment Based on Progressive Multitype Feature Fusion.Lanfei He, Xuefei Zhang, Zhiwei Li, Peng Xiao, Ziming Wei, Xu Cheng & Shaocheng Qu - 2022 - Complexity 2022:1-11.
    Presently, the State Grid Corporation of China has accumulated a large amount of maintenance records for power primary equipment. Unfortunately, most of these records are unstructured data which lead to difficultly analyze and utilize them. The emergence of natural language processing technology and deep learning methods provide a solution for unstructured text data. This paper proposes a progressive multitype feature fusion model to recognize Chinese named entity of unstructured maintenance records for power primary equipment. Firstly, the textual characteristics and word (...)
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  134.  16
    Evaluating the Smoothness of the Washed Fabric after Laundry with the Washing Machine Based on a New Type-2 Fuzzy Neural Network.Mir Saeid Hesarian & Jafar Tavoosi - 2022 - Complexity 2022:1-9.
    Clothes laundering are necessary during their cycle life, and the mechanical forces exposed to fabrics during laundering were caused to wrinkle. Therefore, in this paper, the wrinkle of the cotton fabric after home laundering was evaluated based on their characteristic. The washing process was done without any softener as toxic material. For this purpose, experimental and theoretical evaluations were conducted. In experiments, the cotton fabrics in various characteristics were washed by washing machine without any softener in special adjustments. The wrinkle (...)
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  135.  7
    Predictive Probability Models of Road Traffic Human Deaths with Demographic Factors in Ghana.Christian Akrong Hesse, Dominic Buer Boyetey & Albert Ayi Ashiagbor - 2022 - Complexity 2022:1-10.
    Road traffic carnages are global concerns and seemingly on the rise in Ghana. Several risk factors have been studied as associated with road traffic fatalities. However, inadequate road traffic fatality data and inconsistent probability outcomes for RTF remain major challenges. The objective of this study was to illustrate and estimate probability models that can predict road traffic fatalities. We relied on 66,159 recorded casualties who were involved in road traffic accidents in Ghana from 2015 to 2019. Three generalized linear models, (...)
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  136.  17
    DWT-SVD Based Watermarking for High-Resolution Medical Holographic Images.Fahrettin Horasan, Muhammed Ali Pala, Ali Durdu, Akif Akgül, Ömer Faruk Akmeşe & Mustafa Zahid Yıldız - 2022 - Complexity 2022:1-21.
    Watermarking is one of the most common techniques used to protect data’s authenticity, integrity, and security. The obfuscation in the frequency domain used in the watermarking method makes the watermarking stronger than the obfuscation in the spatial domain. It occupies an important place in watermarking works in imperceptibility, capacity, and robustness. Finding the optimal location to hide the watermarking is one of the most challenging tasks in these methods and affects the method’s performance. In this article, sample identification information is (...)
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  137.  14
    Abundant Bounded and Unbounded Solitary, Periodic, Rogue-Type Wave Solutions and Analysis of Parametric Effect on the Solutions to Nonlinear Klein–Gordon Model.Mohammad Mobarak Hossain, Alrazi Abdeljabbar, Harun-Or Roshid, Md Mamunur Roshid & Abu Naim Sheikh - 2022 - Complexity 2022:1-19.
    This paper exploits the modified simple equation and dynamical system schemes to integrate the Klein–Gordon model amid quadratic nonlinearity arising in nonlinear optics, quantum theories, and solid state physics. By implementing the modified simple equation technique, we develop some disguise adaptation of analytical solutions in terms of hyperbolic, exponential, and trigonometric functions with some special parameters. We apply the dynamical system to bifurcate the model and draw distinct phase portraits on unlike parametric constraints. Following each orbit of all phase portraits, (...)
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  138.  13
    Regular and Chaotic Behavior on the Convection in a Rotating Ferrofluid in Porous Medium under Helical Force.M. L. Hounvènou & Vincent Adjimon Monwanou - 2022 - Complexity 2022:1-17.
    This article deals with the control of chaos on the convective motion in a ferrofluid filled in a rotating porous medium and under the helical force effect. We performed a truncated expansion of Galerkin and found the Lorenz-type model which described the system. The dynamical system is characterized using appropriate and subsequent criteria. We noticed that the system presents regular and chaotic behaviors according to the parameters at present. A considerable reduction of the chaotic domain is noticed with the increase (...)
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  139.  9
    A Backstepping Controller with the RBF Neural Network for Folding-Boom Aerial Work Platform.Haidong Hu, Yandong Song, Pu Fan, Chen Diao & Ning Cai - 2022 - Complexity 2022:1-9.
    Aerial work platform is a kind of engineering vehicle which is used for hoisting personnel to the appointed place for maintenance or installation. Based on the dynamics model considering the flexible deformation existing in the arm system of folding-boom aerial platform vehicle, this study presents a NN-based backstepping controller used for trajectory tracking control of work platform. The proposed controller can reduce tracking error of work platform and suppress the vibration simultaneously by using the RBF neural network system to compensate (...)
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  140.  17
    Technology Topic Identification and Trend Prediction of New Energy Vehicle Using LDA Modeling.Renjie Hu, Wencong Ma, Weiqiang Lin, Xiude Chen, Zuchang Zhong & Chuhong Zeng - 2022 - Complexity 2022:1-20.
    As new energy vehicle is the future of automobile development, it is of great significance to dig deeper into the technical topics and development trends of new energy vehicles for accurately understanding the technical trends of the new energy vehicle industry, grasping development opportunities, and scientifically formulating strategic plans. This paper takes the patent texts in the field of new energy vehicles from 2000 to 2020 in the patent database of CNKI as the data source, identifies 25 technical topics implied (...)
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  141.  68
    Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem.Rong Hu, Xing Wu, Bin Qian, Jianlin Mao & Huaiping Jin - 2022 - Complexity 2022:1-11.
    This paper considers two kinds of stochastic reentrant job shop scheduling problems, i.e., the SRJSSP with the maximum tardiness criterion and the SRJSSP with the makespan criterion. Owing to the NP-complete complexity of the considered RJSSPs, an effective differential evolutionary algorithm combined with two uncertainty handling techniques, namely, DEA_UHT, is proposed to address these problems. Firstly, to reasonably control the computation cost, the optimal computing budget allocation technique is applied for allocating limited computation budgets to assure reliable evaluation and identification (...)
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  142.  11
    Analysis of Topological Aspects for Metal-Insulator Transition Superlattice Network.Rongbing Huang, M. H. Muhammad, M. K. Siddiqui, S. Khalid, S. Manzoor & E. Bashier - 2022 - Complexity 2022:1-11.
    In this research work, we have explored the physical and topological properties of the crystal structure of metal-insulator transition superlattice. In recent times, two-dimensional substantial have enamored comprehensive considerations owing to their novel ophthalmic and mechanical properties for anticipated employment. Recently, some researchers put their interest in modifying this material into useful forms in human life. Also, Metal-Insulator Transition Superlattice is useful in form of a thin film to utilize as two-dimensional transition metal dichalcogenides. Moreover, we have defined the computed-based (...)
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  143.  15
    Rough-Set-Based Real-Time Interest Label Extraction over Large-Scale Social Networks.Xiaoling Huang, Lei Li, Hao Wang, Chengxiang Hu, Xiaohan Xu & Changlin Wu - 2022 - Complexity 2022:1-17.
    Labels provide a quick and effective solution to obtain people interesting content from large-scale social network information. The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time-consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set-based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose an effective (...)
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  144.  12
    A Hybrid Deep Learning Framework for Network Flow Forecasting of Power Grid Enterprise.Xin Huang, Ting Hu, Pei Pei, Qin Li & Xin Zhang - 2022 - Complexity 2022:1-11.
    With the expansion of the digital business line, the network flow behind the digital power grid is also exploding. To prevent network congestion, this article proposes a novel network flow forecasting model, which is composed of variational mode decomposition, GRU-xgboost block, and a forecasting adjustment block, to grasp the changing patterns and trends of network flow in advance, and to formulate reasonable and effective flow management strategies and meet the requirements of users for network service quality. The network flow series (...)
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  145.  17
    A Unified Power Quality Conditioner for Feeder Reconfiguration and Setting to Minimize the Power Loss and Improve Voltage Profile.Zhigao Huang, Farid Shahbaazy & Afshin Davarpanah - 2022 - Complexity 2022:1-8.
    Using devices such as unified power quality conditioners in distribution networks seems essential for higher electricity quality. Moreover, distribution network reconfiguration is a suitable model for improving network characteristics, including loss reduction and voltage increase for distribution networks, and is widely used in this era. Here, the study discusses the rechanging of distribution networks for UPQC via proposing an appropriate model for it. In addition to the optimum structure of distribution networks, the most appropriate branch where UPQC must be located (...)
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  146.  10
    On Topological Indices for Complex Indium Phosphate Network and Their Applications.Wang Hui, Lubna Sherin, Sana Javed, Sadia Khalid, Waqar Asghar & Samuel Asefa Fufa - 2022 - Complexity 2022:1-17.
    A chemical compound in the form of graph terminology is known as a chemical graph. Molecules are usually represented as vertices, while their bonding or interaction is shown by edges in a molecular graph. In this paper, we computed various connectivity indices based on degrees of vertices of a chemical graph of indium phosphide. Afterward, we found the physical measures like entropy and heat of formation of InP. Then, we fitted curves between different indices and the thermodynamical properties, namely, heat (...)
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  147.  16
    A Hybrid Deep Learning-Based Network for Photovoltaic Power Forecasting.Altaf Hussain, Zulfiqar Ahmad Khan, Tanveer Hussain, Fath U. Min Ullah, Seungmin Rho & Sung Wook Baik - 2022 - Complexity 2022:1-12.
    For efficient energy distribution, microgrids provide significant assistance to main grids and act as a bridge between the power generation and consumption. Renewable energy generation resources, particularly photovoltaics, are considered as a clean source of energy but are highly complex, volatile, and intermittent in nature making their forecasting challenging. Thus, a reliable, optimized, and a robust forecasting method deployed at MG objectifies these challenges by providing accurate renewable energy production forecasting and establishing a precise power generation and consumption matching at (...)
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  148.  10
    Decomposition of Fourth-Order Euler-Type Linear Time-Varying Differential System into Cascaded Two Second-Order Euler Commutative Pairs.Salisu Ibrahim & Abedallah Rababah - 2022 - Complexity 2022:1-9.
    This paper presents decomposition of the fourth-order Euler-type linear time-varying system as a commutative pair of two second-order Euler-type systems. All necessary and sufficient conditions for the decomposition are deployed to investigate the commutativity, sensitivity, and the effect of disturbance on the fourth-order LTVS. Some systems are commutative, and some are not commutative, while some are commutative under certain conditions. Based on this fact, the commutativity of fourth-order Euler-type LTVS is investigated by introducing the commutative requirements, theories, and conditions. The (...)
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  149.  30
    Model-Based Design, HIL Testing, and Rapid Control Prototyping of a Low-Cost POC Quadcopter with Stability Analysis and Control.Abdullah Irfan, Muhammad Gufran Khan, Arslan Ahmed Amin, Syed Ali Mohsin, Muhammad Adnan & Adil Zulfiqar - 2022 - Complexity 2022:1-16.
    Unmanned aerial vehicles, particularly quadcopters, have several medical, agriculture, surveillance, and security applications. However, the use of this innovative technology for civilian applications is still very limited in low-income countries due to the high cost, whereas low-cost controllers available in the market are often tuned using the hit and trial approach and are limited for specific applications. This paper addresses this issue and presents a novel proof of concept low-cost quadcopter UAV design approach using a systematic Model-Based Design method for (...)
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  150.  10
    A Hidden Chaotic Attractor with an Independent Amplitude-Frequency Controller.Yousuf Islam, Chunbiao Li, Yicheng Jiang, Xu Ma & Akif Akgul - 2022 - Complexity 2022:1-11.
    In this paper, a three-dimensional chaotic system with a line equilibrium is studied, in which a single nonbifurcation parameter is used to control the amplitude and frequency. A variety of chaotic signals can be modified using the amplitude-frequency control switch. The realization of circuit simulation based on multisim further verifies the theoretical analysis. Finally, the method for encrypting color images is tested, and the process performance is valued. It shows that the novel chaotic oscillation has a promising application prospect in (...)
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  151.  6
    New Stabilization Properties of Pendulum Models Applying a Large Parameter.A. I. Ismail & Hamza A. Ghulman - 2022 - Complexity 2022:1-12.
    In the present paper, we introduce new models of pendulum motions for two cases: the first model consists of a pendulum with mass M moving at the end of a string with a suspended point moving on an ellipse and the second one consists of a pendulum with mass M moving at the end of a spring with a suspended point on an ellipse. In both models, we use the Lagrangian functions for deriving the equations of motions. The derived equations (...)
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  152.  82
    An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning.Ayesha Jabeen, Muhammad Yasir, Yasmeen Ansari, Sadaf Yasmin, Jihoon Moon & Seungmin Rho - 2022 - Complexity 2022:1-18.
    Stock markets accurately reflect countries’ economic health, and stock returns are tightly related to economic indices. One popular area of financial research is the factors that influence stock returns. Several investigations have frequently cited macroeconomic factors, among numerous elements. Therefore, this study focuses on the empirical analysis of the relationship between macroeconomic factors and stock market returns. When a stock market becomes increasingly volatile, it becomes susceptible to economic uncertainty news, and information on social media platforms. Thus, we incorporated a (...)
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  153.  8
    Topological Aspects of Molecular Networks: Crystal Cubic Carbons.Muhammad Javaid, Aqsa Sattar & Ebenezer Bonyah - 2022 - Complexity 2022:1-14.
    Theory of networks serves as a mathematical foundation for the construction and modeling of chemical structures and complicated networks. In particular, chemical networking theory has a wide range of utilizations in the study of chemical structures, where examination and manipulation of chemical structural information are made feasible by utilizing the numerical graph invariants. A network invariant or a topological index is a numerical measure of a chemical compound which is capable to describe the chemical structural properties such as melting point, (...)
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  154.  16
    Optimal Feedback Control of Cancer Chemotherapy Using Hamilton–Jacobi–Bellman Equation.Yong Dam Jeong, Kwang Su Kim, Yunil Roh, Sooyoun Choi, Shingo Iwami & Il Hyo Jung - 2022 - Complexity 2022:1-11.
    Cancer chemotherapy has been the most common cancer treatment. However, it has side effects that kill both tumor cells and immune cells, which can ravage the patient’s immune system. Chemotherapy should be administered depending on the patient’s immunity as well as the level of cancer cells. Thus, we need to design an efficient treatment protocol. In this work, we study a feedback control problem of tumor-immune system to design an optimal chemotherapy strategy. For this, we first propose a mathematical model (...)
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  155.  10
    The Impact of Digitization on Green Innovation Performance: Evidence Based on Panel Data of 228 Prefectural-Level Cities in China.Lijiang Jia, Xiaoli Hu, Zhongwei Zhao, Tianze Zhou, Weiming Liu & Bin He - 2022 - Complexity 2022:1-13.
    At present, in the context of the era of energy and digital reform enabling the “dual carbon” goal, in order to improve the performance of urban green innovation, digitalization has become more and more important. Based on panel data, taking 228 prefecture-level cities in China from 2003 to 2019 as an example, this study expounds three dimensions of promoting green innovation performance in the internal mechanism of digital development: direct transmission mechanism, indirect transmission mechanism, and regional heterogeneity transmission mechanism. This (...)
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  156.  10
    An Improved Grey Model with Time Power and Its Application.Jianming Jiang, Caixia Liu, Yuanguo Yao, Yumu Lu, Wanli Xie & Chong Liu - 2022 - Complexity 2022:1-10.
    The grey system model with time power, which is often called the GM, appeals considerable interest of research due to its effectiveness in time series forecasting. Aimed to improve further the GM model, this paper introduces a new whitening equation with variable coefficient into the original whitening equation which extends applicable scope; as a result, an improved grey model with time power, namely, OGM, is proposed. Firstly, the time response function of the novel model and the restored values of original (...)
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  157.  10
    Optimal Charging Scheduling and Management with Bus-Driver-Trip Assignment considering Mealtime Windows for an Electric Bus Line.Yang Jiang & Tong He - 2022 - Complexity 2022:1-19.
    Compared to a charging scheduling and management problem characterized by predetermined trip assignment, this study takes bus and driver scheduling into account, and mealtime windows must be guaranteed as one of the major labor regulations. A discretized mixed-integer linear programming model is developed based on a single electric bus route. We aim to obtain fast and high-quality global solutions for this problem, and the model can be easily executed by bus operators by directly invoking an available optimization solver such as (...)
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  158.  20
    Analysis of the Epidemic Biological Model of Tuberculosis (TB) via Numerical Schemes.S. Kanwal, M. K. Siddiqui, E. Bonyah, K. Sarwar, T. S. Shaikh & N. Ahmed - 2022 - Complexity 2022:1-13.
    Tuberculosis is caused by bacillus Mycobacterium tuberculosis. In this study, a mathematical model of tuberculosis is analyzed. The numerical behaviour of the considered model is analyzed including basic reproduction number and stability. We applied three numerical techniques to this model, i.e., nonstandard finite difference scheme, Runge–Kutta method of order 4, and forward Euler scheme. NSFD scheme preserves all the essential properties of the model. Acquired results corroborate that NSFD scheme converges for each step size. While the other two schemes failed (...)
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  159.  15
    Ordering Acyclic Connected Structures of Trees Having Greatest Degree-Based Invariants.S. Kanwal, M. K. Siddiqui, E. Bonyah, T. S. Shaikh, I. Irshad & S. Khalid - 2022 - Complexity 2022:1-16.
    Being building block of data sciences, link prediction plays a vital role in revealing the hidden mechanisms that lead the networking dynamics. Since many techniques depending in vertex similarity and edge features were put forward to rule out many well-known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. In this study, we applied some graph transformations and several inequalities to determine the greatest value of first and second Zagreb invariant, S K (...)
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  160.  14
    Flexible Flow Shop Scheduling Problem with Reliable Transporters and Intermediate Limited Buffers via considering Learning Effects and Budget Constraint.Meysam Kazemi Esfeh, Amir Abbas Shojaie, Hasan Javanshir & Kaveh Khalili-Damghani - 2022 - Complexity 2022:1-19.
    In this study, a new mathematical model is presented to solve the flexible flow shop problem where transportation is reliable and there are constraints on intermediate buffers, budgets, and human resource learning effects. Firstly, the model is validated to confirm the accuracy of its performance. Then, since it is an NP-hard one, two metaheuristic algorithms, namely, MOSA and MOEA/D, are rendered to solve mid- and large-scale problems. To confirm their accuracy of performance, two small-scale problems are solved using GAMS exact (...)
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  161.  13
    Qualitative Analysis of a Spatiotemporal Prey-Predator Model with Additive Allee Effect and Fear Effect.Changcheng Ke, Ming Yi & Yanfeng Guo - 2022 - Complexity 2022:1-19.
    A diffusive predator-prey system with both the additive Allee effect and the fear effect in the prey subject to Neumann boundary conditions is considered in this paper. Firstly, non-negative and non-trivial solution a priori estimations are shown. Furthermore, for specific parameter ranges, the absence of non-constant positive solutions is demonstrated. Secondly, we use the linearized theory to investigate the stability of non-negative constant solutions. The spatially homogeneous and non-homogeneous periodic solutions, as well as non-constant steady state solutions, are next investigated (...)
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  162.  13
    A Simple Image Encryption Based on Binary Image Affine Transformation and Zigzag Process.Adélaïde Nicole Kengnou Telem, Cyrille Feudjio, Balamurali Ramakrishnan, Hilaire Bertrand Fotsin & Karthikeyan Rajagopal - 2022 - Complexity 2022:1-22.
    In this paper, we propose a new and simple method for image encryption. It uses an external secret key of 128 bits long and an internal secret key. The novelties of the proposed encryption process are the methods used to extract an internal key to apply the zigzag process, affine transformation, and substitution-diffusion process. Initially, an original gray-scale image is converted into binary images. An internal secret key is extracted from binary images. The two keys are combined to compute the (...)
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  163.  10
    Euler’s Numerical Method on Fractional DSEK Model under ABC Derivative.Fareeha Sami Khan, M. Khalid, Omar Bazighifan & A. El-Mesady - 2022 - Complexity 2022:1-12.
    In this paper, DSEK model with fractional derivatives of the Atangana-Baleanu Caputo is proposed. This paper gives a brief overview of the ABC fractional derivative and its attributes. Fixed point theory has been used to establish the uniqueness and existence of solutions for the fractional DSEK model. According to this theory, we will define two operators based on Lipschitzian and prove that they are contraction mapping and relatively compact. Ulam-Hyers stability theorem is implemented to prove the fractional DSEK model’s stability (...)
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  164.  69
    Predicting Young Imposter Syndrome Using Ensemble Learning.Md Nafiul Alam Khan, M. Saef Ullah Miah, Md Shahjalal, Talha Bin Sarwar & Md Shahariar Rokon - 2022 - Complexity 2022:1-10.
    Background. Imposter syndrome, associated with self-doubt and fear despite clear accomplishments and competencies, is frequently detected in medical students and has a negative impact on their well-being. This study aimed to predict the students’ IS using the machine learning ensemble approach. Methods. This study was a cross-sectional design among medical students in Bangladesh. Data were collected from February to July 2020 through snowball sampling technique across medical colleges in Bangladesh. In this study, we employed three different machine learning techniques such (...)
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  165.  15
    Caricature Face Photo Facial Attribute Similarity Generator.Muhammad Irfan Khan, Muhammad Kashif Hanif & Ramzan Talib - 2022 - Complexity 2022:1-14.
    Caricatures can help to understand the perception of a face. The prominent facial feature of a subject can be exaggerated, so the subject can be easily identified by humans. Recently, significant progress has been made to face detection and recognition from images. However, the matching of caricature with photographs is a difficult task. This is due to exaggerated features, representation of modalities, and different styles adopted by artists. This study proposed a cross-domain qualitative feature-based approach to match caricature with a (...)
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  166.  19
    Predicting and Preventing Crime: A Crime Prediction Model Using San Francisco Crime Data by Classification Techniques.Muzammil Khan, Azmat Ali & Yasser Alharbi - 2022 - Complexity 2022:1-13.
    The crime is difficult to predict; it is random and possibly can occur anywhere at any time, which is a challenging issue for any society. The study proposes a crime prediction model by analyzing and comparing three known prediction classification algorithms: Naive Bayes, Random Forest, and Gradient Boosting Decision Tree. The model analyzes the top ten crimes to make predictions about different categories, which account for 97% of the incidents. These two significant crime classes, that is, violent and nonviolent, are (...)
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  167.  18
    Keyword Extraction for Medium-Sized Documents Using Corpus-Based Contextual Semantic Smoothing.Osama A. Khan, Shaukat Wasi, Muhammad Shoaib Siddiqui & Asim Karim - 2022 - Complexity 2022:1-8.
    Keyword extraction refers to the process of selecting most significant, relevant, and descriptive terms as keywords, which are present inside a single document. Keyword extraction has major applications in the information retrieval domain, such as analysis, summarization, indexing, and search, of documents. In this paper, we present a novel supervised technique for extraction of keywords from medium-sized documents, namely Corpus-based Contextual Semantic Smoothing. CCSS extends the concept of Contextual Semantic Smoothing, which considers term usage patterns in similar texts to improve (...)
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  168.  23
    Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms.Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun & Jaeyun Kim - 2022 - Complexity 2022:1-10.
    Forecasting blood glucose values for patients can help prevent hypoglycemia and hyperglycemia events in advance. To this end, this study proposes an intelligent ensemble deep learning system to predict BG values in 15, 30, and 60 min prediction horizons based on historical BG values collected via continuous glucose monitoring devices as an endogenous factor and carbohydrate intake and insulin administration information as exogenous factors. Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural network, (...)
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  169.  10
    Chaotic Behaviors and Coexisting Attractors in a New Nonlinear Dissipative Parametric Chemical Oscillator.Y. J. F. Kpomahou, A. Adomou, J. A. Adéchinan, A. E. Yamadjako & I. V. Madogni - 2022 - Complexity 2022:1-16.
    In this study, complex dynamics of Briggs–Rauscher reaction system is investigated analytically and numerically. First, the Briggs–Rauscher reaction system is reduced into a new nonlinear parametric oscillator. The Melnikov method is used to derive the condition of the appearance of horseshoe chaos in the cases ω = Ω and ω ≠ Ω. The performed numerical simulations confirm the obtained analytical predictions. Second, the prediction of coexisting attractors is investigated by solving numerically the new nonlinear parametric ordinary differential equation via the (...)
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  170.  11
    Providing a Multiproduct and Multiperiodic Model for Closed-Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market.Leila Lagzaie & Ali Hamzehee - 2022 - Complexity 2022:1-11.
    Many organizations must adjust their supply chains and business environments to remain competitive and retain market share. However, despite the benefits of such developments for organizations, they can lead to supply chain disruptions in many cases. An essential aspect of modern organizations is closed-loop supply chain management, which reduces risk by coordinating processes. This paper presents a mathematical model of a closed-loop green supply chain under uncertain conditions. A detailed description of the model and current assumptions for a specific industry (...)
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  171.  7
    Perimeter Degree Technique for the Reduction of Routing Congestion during Placement in Physical Design of VLSI Circuits.Kuruva Lakshmanna, Fahimuddin Shaik, Vinit Kumar Gunjan, Ninni Singh, Gautam Kumar & R. Mahammad Shafi - 2022 - Complexity 2022:1-11.
    When used in conjunction with the current floorplan and the optimization technique in circuit design engineering, this research allows for the evaluation of design parameters that can be used to reduce congestion during integrated circuit fabrication. Testing the multiple alternative consequences of IC design will be extremely beneficial in this situation, as will be demonstrated further below. If the importance of placement and routing congestion concerns is underappreciated, the IC implementation may experience significant nonlinear problems throughout the process as a (...)
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  172.  16
    Learning-Based Path Planning Algorithm in Ocean Currents for Multi-Glider.Wei Lan, Xiang Jin, Xin Chang, Tianlin Wang & Han Zhou - 2022 - Complexity 2022:1-17.
    In practical application studies of glider formations, ocean currents are a major influencing factor in their path planning. The purpose of this paper is to solve the path planning problem of glider formations in time-varying ocean currents and establish gliders, glider formation, and ocean current models based on existing data. The Doc-CNN architecture is tailored to conform to the operation and environment characteristics of gliders in practical application. After experiments, the algorithm of the improved architecture can be used in the (...)
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  173.  15
    Magnetic Field Effect on Heat and Momentum of Fractional Maxwell Nanofluid within a Channel by Power Law Kernel Using Finite Difference Method.Maha M. A. Lashin, Muhammad Usman, Muhammad Imran Asjad, Arfan Ali, Fahd Jarad & Taseer Muhammad - 2022 - Complexity 2022:1-16.
    The mathematical model of physical problems interprets physical phenomena closely. This research work is focused on numerical solution of a nonlinear mathematical model of fractional Maxwell nanofluid with the finite difference element method. Addition of nanoparticles in base fluids such as water, sodium alginate, kerosene oil, and engine oil is observed, and velocity profile and heat transfer energy profile of solutions are investigated. The finite difference method involving the discretization of time and distance parameters is applied for numerical results by (...)
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  174.  15
    The Impacts of Crude Oil Market Structure on Stock Market Growth: Evidence from Asian Countries.Hoang Anh Le & Doan Trang Do - 2022 - Complexity 2022:1-12.
    The purpose of this paper is to investigate the impact of crude oil market structure on stock market volatility in Asian countries in the period 2008–2017. We integrate network analysis with the SGMM estimation technique to achieve the research objective. Network analysis was conducted with 43 Asian countries, while analysis of the impact of crude oil market structure on stock markets was performed with a sample of 19 countries. The results show that the stock market has a positive growth in (...)
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  175.  38
    Simulation Testing of Maritime Cyber-Physical Systems: Application of Model-View-ViewModel.Dong-Chul Lee, Kyung-Min Seo, Hee-Mun Park & Byeong Soo Kim - 2022 - Complexity 2022:1-14.
    From the perspective of the system of systems development, system-level functional testing is required for designing subsystems. This study utilizes modeling and simulation techniques to analyze the operational behaviors of the subsystems and confirm data communication between them. The targeted system in the study is a naval combat system, which is a typical type of defense cyber-physical system. Three types of models were designed for the simulation testing of the NCS: a combat-management model for simulating the overall computational activities, physical (...)
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  176.  6
    A New Approach to Estimate Concentration Levels with Filtered Neural Nets for Online Learning.Woodo Lee, Junhyoung Oh & Jaekwoun Shim - 2022 - Complexity 2022:1-8.
    The COVID-19 pandemic heavily influenced human life by constricting human social activity. Following the spread of the pandemic, humans did not have a choice but to change their lifestyles. There has been much change in the field of education, which has led to schools hosting online classes as an alternative to face-to-face classes. However, the concentration level is lowered in the online learning class, and the student’s learning rate decreases. We devise a framework for recognizing and estimating students’ concentration levels (...)
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  177.  41
    DLD: An Optimized Chinese Speech Recognition Model Based on Deep Learning.Hong Lei, Yue Xiao, Yanchun Liang, Dalin Li & Heow Pueh Lee - 2022 - Complexity 2022:1-8.
    Speech recognition technology has played an indispensable role in realizing human-computer intelligent interaction. However, most of the current Chinese speech recognition systems are provided online or offline models with low accuracy and poor performance. To improve the performance of offline Chinese speech recognition, we propose a hybrid acoustic model of deep convolutional neural network, long short-term memory, and deep neural network. This model utilizes DCNN to reduce frequency variation and adds a batch normalization layer after its convolutional layer to ensure (...)
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  178.  12
    A Comparison of Metaheuristic Techniques for Solving Optimal Sitting and Sizing Problems of Capacitor Banks to Reduce the Power Loss in Radial Distribution System.Tongfei Lei, Saleem Riaz, Hira Raziq, Munira Batool, Feng Pan & Jianfeng Wang - 2022 - Complexity 2022:1-14.
    The losses in the radial distribution system are inevitable which needs to be minimized for the proper transmission of power to the end customers. This problem can be solved by the allocation of capacitor banks at proper locations with appropriate sizing. These allocations need an efficient approach for the performance enhancement of RDS. In this paper, several metaheuristic techniques such as particle swarm optimization, Harmony search, Bat, Cuckoo, and Grey-wolf algorithms are employed to find the size of capacitor banks. Loss (...)
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  179.  8
    Performance Analysis of Grid-Connected Distributed Generation System Integrating a Hybrid Wind-PV Farm Using UPQC.Tongfei Lei, Saleem Riaz, Noor Zanib, Munira Batool, Feng Pan & Shaoguo Zhang - 2022 - Complexity 2022:1-14.
    This work presents a distributed generation system that combines system of a wind turbine and photovoltaic using a unified power quality conditioner. Along with providing active power to the utility grid, Wind-PV-UPQC improves PQ indicators, for example, voltage drops/surges, harmonics of grid voltages, and PF. Since Wind-PV-UPQC depends on dual compensation scheme, the parallel converter works as a sinusoidal voltage source, while the series converter works as a sinusoidal current source. In this way, a smooth transition from grid operation to (...)
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  180.  12
    Observer-Based Synchronization and Quasi-Synchronization for Multiple Neural Networks with Time-Varying Delays.Biwen Li, Donglun Wang & Jingjing Huang - 2022 - Complexity 2022:1-15.
    In this paper, we study the synchronization of a class of multiple neural networks with delay and directed disconnected switching topology based on state observer via impulsive coupling control. The coupling topology is connected sequentially, and the controller adjusts the state value through event-triggering strategies. Different from the related works on MNNs, its state in this paper is assumed to be unmeasurable, and the time delay is also unmeasurable. Therefore, the observer does not contain the time-delay term. The impulsive switching (...)
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  181.  8
    Multiple Quasisynchronization of Uncertain Fractional-Order Delayed Neural Networks by Impulsive Control Mechanism.Biwen Li & Lin Xu - 2022 - Complexity 2022:1-10.
    We study the dynamical behavior of multiple quasi-synchronization of a type of fractional-order coupled neural networks with delay and uncertain parameters. By utilizing the pinned pulse control strategy technique, we establish a new pulse controller, which realizes the multiple quasisynchronization of the system. Furthermore, we derive some new criteria of multiple quasisynchronization by using the comparison principle and mathematical analysis. Eventually, simulations are carried out with two examples to explicate the effectiveness of the conclusions.
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  182.  13
    Evolutionary Game Analysis of the Dissemination of False Information by Multiple Parties after Major Emergencies.Bowen Li, Hua Li, Qiubai Sun, Rongjian Lv & Jianbo Zhao - 2022 - Complexity 2022:1-14.
    False information is always produced after the outbreak of major emergencies. Taking this into consideration, this paper discusses the behavior of multiple parties in relation to false information dissemination after major emergencies. First, a game model is constructed, using relevant knowledge of evolutionary game theory, between three parties: regulatory institutions, opinion leaders, and ordinary Internet users. Second, the model equations are solved, and the evolutionary stability strategies of each game party under different circumstances are analyzed. Third, a numerical simulation is (...)
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  183.  11
    Complexity between Aging and the Structure of Financial Market: Empirical Evidence from Microdata.Chao Li, Lin Wang, Rundong Luo, Guangjie Ning, Peiya Zhao & Xiaoning Yu - 2022 - Complexity 2022:1-15.
    By empirically testing the scale and structure hypotheses of aging’s impacts on the financial market using Tobit, FRM, and Heckman selection models, this paper proves that the number and proportion of elderly family members change the structure of families’ financial assets, though without significant effects on their overall size. Specifically, aging increases the share of cash and deposits in families’ total financial assets and decreases both the quantity and percentage of investment in risky assets. One more family member aged sixty (...)
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  184.  13
    Modeling Intercity CO2 Trading Scenarios in China: Complexity of Urban Networks Integrating Different Spatial Scales.Chongming Li, Na Li, Zuo Zhang, Lu Zhang, Zhi Li & Yanzhong Liu - 2022 - Complexity 2022:1-16.
    Today, cities account for the majority of global energy consumption and CO2 emissions. The interaction between cities is critical for regional low-carbon development. At this time, China has turned to the full opening of the carbon trading market as an important policy tool for achieving its ambitious emission reduction goals. This paper attempts to explore the spatial relationships among cities from the perspective of carbon trading. A “multiscenarios across different spatial scales” analysis framework applied to the allocation and trading of (...)
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  185.  10
    Rationalizing Denominators Using Gröbner Bases.Dongmei Li, Man Wu, Jinwang Liu & Yiman Gao - 2022 - Complexity 2022:1-10.
    The problem of rationalizing denominators for two types of fractions is discussed in the paper. By using the theory and algorithms of Gröbner bases, we first introduce a method to rationalize the denominators of fractions with square root and cube root, and then, for the denominators with higher radical of the general form, the problem of rationalizing denominators is converted into the related problem of finding the minimal polynomials. Some interesting results and an executable algorithm for rationalizing the denominator of (...)
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  186.  7
    Dynamics of SCIR Modeling for COVID-19 with Immigration.Haiyin Li & Yan Wu - 2022 - Complexity 2022:1-22.
    In this study, for COVID-19, we divide people into four categories: susceptible S t, closely contacted C t, infective I t, and removed R t according to the current epidemic situation and then investigate two models: the SCIR models with immigration and without immigration. For the former, Model 1, we obtain the condition for global stability of its disease-free equilibrium. For the latter, Model 2, we establish the local asymptotic stability of its endemic equilibrium by constructing Lyapunov function. Afterwards, by (...)
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  187.  13
    Existence of C 1 -Positive Solutions for a Class of Second-Order Impulsive Differential Equations.Hong Li - 2022 - Complexity 2022:1-8.
    In this study, under some inequality conditions, necessary and sufficient conditions, using fixed-point theorem in cones, are established for the existence of C 1 -positive solutions for a class of second-order impulsive differential equations. Two examples are given in the last section to illustrate the abstract results.
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  188.  15
    Method for Evaluation and Application of Production Process Chain Complexity in Sewing Workshops considering Human Factor.Huimin Li, Fansen Kong, Taibo Chen & Liang Kong - 2022 - Complexity 2022:1-16.
    Existing methods for evaluating manufacturing process chain complexity consider the number of machines, state of machines, number of parts, operation time, and processing sequence of parts. However, such evaluation methods ignore human factors. To consider human factors, human cognitive decision-making process factors are considered in the complexity evaluation of production processes. Accordingly, a new objective evaluation method of the human factor complexity is proposed. In the proposed method, sewing operations are taken as an example, and the human factor complexity is (...)
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  189.  11
    Evolutionary Game Analysis of E-Commerce Intellectual Property Social Cogovernance with Collective Organizations.Ji Li & Chunming Xu - 2022 - Complexity 2022:1-13.
    China’s E-commerce market is very active. Despite the impact of COVID-19, the market has ushered in major development opportunities. Alongside, the level of intellectual property protection in China is constantly improving. However, there are relatively few studies on intellectual property protection in the field of E-commerce. This study introduces the theory of social cogovernance and explores the construction of China’s E-commerce intellectual property protection system with the participation of collective organizations. Evolutionary game method is applied to model construction. Through numerical (...)
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  190.  13
    Optimizing Product Configuration Problems with Multisourcing Supplier Selections under Both Carbon Cap and Carbon Tax Regulations.Jia Li & Dong Yang - 2022 - Complexity 2022:1-16.
    Product configuration is a key enabling technology for mass customization production. Previous studies mainly focus on the solving technologies for obtaining a feasible configuration or optimal configuration but ignore environmental factors like CO2 emissions, especially the environmental regulations from international organizations. In this article, we address product configuration optimization problems considering both carbon cap and carbon tax regulations. A two-stage approach that combines both Particle Swarm Optimization and a greedy algorithm is presented to solve the product configuration problems with carbon (...)
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  191.  7
    Corrigendum to “The Spatial Agglomeration and Industrial Network of Strategic Emerging Industries and Their Impact on Urban Growth in Mainland China”.Jiaming Li, Peiyuan Zhang, Jialin He & Dongqi Sun - 2022 - Complexity 2022:1-1.
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  192.  7
    Smoothing Connected Ball Bézier Curves by Energy Minimization.Juncheng Li & Chengzhi Liu - 2022 - Complexity 2022:1-15.
    In this paper, we aim at smoothing two connected ball Bézier curves from Cr−1 to Cr r ≥ 1 by minimizing the energies of the curves. We propose the algorithms based on internal energy minimization and curve attractor minimization. Then, we combine the internal energy and the curve attractor and give the algorithm based on combined energy minimization. All algorithms are established by solving bi-objective minimizations. Some numerical examples show that the proposed algorithms are effective, making them useful for smoothing (...)
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  193.  17
    N-Lump to the (2+1)-Dimensional Variable-Coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada Equation.Junjie Li, Jalil Manafian, Aditya Wardhana, Ali J. Othman, Ismail Husein, Mohaimen Al-Thamir & Mostafa Abotaleb - 2022 - Complexity 2022:1-32.
    In this research, the -dimensional variable-coefficient Caudrey–Dodd–Gibbon–Kotera–Sawada model used in soliton hypothesis and implemented by operating the Hirota bilinear scheme is studied. A few modern exact analytical outcomes containing interaction between a lump-two kink soliton, interaction between two-lump, the interaction between two-lump soliton, lump-periodic, and lump-three kink outcomes for the -D VC Caudrey–Dodd–Gibbon–Kotera–Sawada equation by Maple Symbolic packages are obtained. By employing Hirota’s bilinear technique, the extended soliton solutions according to bilinear frame equation are received. For this model, the contemplated (...)
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  194.  11
    Constructing Multiple-Objective Portfolio Selection for Green Innovation and Dominating Green Innovation Indexes.Meng Li, Kezhi Liao, Yue Qi & Tongyang Liu - 2022 - Complexity 2022:1-19.
    Green innovation investments have rapidly grown since 2000. Green innovation indexes play important roles and are typically constructed by screening and indexing. However, Nobel Laureate Markowitz emphasizes portfolio selection instead of security selection and accentuates that “A good portfolio is more than a long list of good stocks.” Moreover, the screening-indexing strategies ignore that investors can take green innovation as an additional objective and thus gain additional utility. We consequently construct 3-objective portfolio selection for green innovation in addition to variance (...)
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  195.  9
    Deep Echo State Network with Variable Memory Pattern for Solar Irradiance Prediction.Qian Li, Tao Li, Jiangang Ouyang, Dayong Yang & Zhijun Guo - 2022 - Complexity 2022:1-11.
    Accurate solar irradiance prediction plays an important role in ensuring the security and stability of renewable energy systems. Solar irradiance modeling is usually a time-dependent dynamic model. As a new kind of recurrent neural network, echo state network shows excellent performance in the field of time series prediction. However, the memory length of classical ESN is fixed and finite, which makes it hard to map sufficient features of solar irradiance with long-range dependency. Therefore, a novel deep echo state network with (...)
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  196.  7
    Differential Trust and Hierarchical Regulation: A Study of the Effectiveness of Rumor Refutation on Government Micro-Blogs—Analysis Based on 1290 Rumor Refutation Messages.Wanlian Li & Xing Chen - 2022 - Complexity 2022:1-10.
    Purpose/Significance. This study aims to explore the differences in the effectiveness of rumor refutation dissemination on government micro-blogs and to identify factors that may lead to such differences, so as to provide reference for the management of emergencies and to improve the effectiveness of rumor refutation. Methodology/Procedure. Using Octopus software to collect data from thirty government micro-blogs, the number of retweets, likes, and comments were used as indicators of the effectiveness of refutation dissemination and different levels of government micro-blogs were (...)
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  197.  10
    Knowledge Innovation Mechanism Based on Linkages between Core Knowledge and Periphery Knowledge: The Case of R&D Cooperation between Latecomers and Forerunners.Weibao Li, Xiaoli Li & Weiwei Wu - 2022 - Complexity 2022:1-13.
    With rapid changes in technology, knowledge innovation has become more and more complex. Complex partners facilitate knowledge creation and innovation in complex problem-solving. Relying on R&D cooperation with forerunners, latecomers can acquire new knowledge factors and new ideas and use them to create new knowledge. This study demonstrated the knowledge innovation mechanism based on linkages between periphery knowledge and core knowledge with knowledge map theory and set methodology. A case of R&D cooperation between latecomers and forerunners was introduced to verify (...)
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  198.  12
    Development of a Family of Chaotic Systems with Infinite Equilibria and Its Application for Image Encryption.Xiaofeng Li, Yulong Bai, Weishuan Pan & Yong-Jie di WangMa - 2022 - Complexity 2022:1-18.
    Fourth-order autonomous nonlinear differential equations can exhibit chaotic properties. In this study, we propose a family of fourth-order chaotic systems with infinite equilibrium points whose equilibria form closed curves of different shapes. First, the phase diagrams and Lyapunov exponents of the system family are simulated. The results show that the system family has complex phase diagrams and dynamic behaviors. Simulation analysis of the Poincarè mapping and bifurcation diagrams shows that the system has chaotic characteristics. The circuit simulation model is constructed (...)
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  199.  68
    Dynamic Measurement Analysis of Urban Innovation Ability and Ecological Efficiency in China.Xing Li & Fuzhou Luo - 2022 - Complexity 2022:1-14.
    To establish the evaluation index system of urbanization innovation level and ecological efficiency, the entropy method is applied to measure the comprehensive index of urbanization innovation level and ecological efficiency, the VAR model is established, and empirical measurement is used to study the internal relationship and dynamic development between urbanization innovation level and ecological efficiency. The empirical results show the following: The overall development of the innovation level in 30 cities in China is uneven, there is a large gap between (...)
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  200.  10
    Analysis of the Mechanism of Political Cost in the Complex Environmental Governance System.Xintao Li, Tongshun Cheng, Zaisheng Zhang & Li Zhao - 2022 - Complexity 2022:1-31.
    The emergence of conflicts between environmental safety incidents and protection rights generates sizeable political costs, which endangers the legitimacy of the government as well as political security and stability. This article further examines the role of political costs in environmental issues. First, political costs in relation to environmental issues are defined. An equilibrium strategic analysis is then presented using an evolutionary game model in which the strategic behavioral choices of government, enterprises, and citizens are investigated by embedding political costs in (...)
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  201.  12
    Distributed Continuous-Time Containment Control of Heterogeneous Multiagent Systems with Nonconvex Control Input Constraints.Xue Li, Lulu Wang & Yinsen Zhang - 2022 - Complexity 2022:1-12.
    This paper focuses on studying containment control problem with switching communication graphs of continuous-time heterogeneous multiagent systems where the control inputs are constrained in a nonconvex set. A nonlinear projection algorithm is proposed to address the problem. We discuss the stability and containment control of the system with switching topologies and nonconvex control input constraints under three different conditions. It is shown that all agents converge to the convex hull of the given leaders ultimately while staying in the nonconvex set (...)
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  202.  6
    Production Strategy Selection and Carbon Emission Reduction with Consumer Heterogeneity under Cap-and-Trade Regulation.Xuzhao Li, Yao Tang & Yu Tang - 2022 - Complexity 2022:1-17.
    In literature, the firm’s selection of dual-product strategy under cap-and-trade regulation and the optimal emission reduction decisions are not well studied, especially through an analytical approach. We develop a theoretic model to investigate the firm’s selection on three product strategies in the presence of cap-and-trade policy, including two single product strategies and a dual-product strategy, and identify two types of consumers: consumers with low-carbon preference and regular consumers. Our analysis shows that, in the absence of cap-and-trade policy, it is optimal (...)
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  203.  12
    Digital Financial Inclusion, Spatial Spillover, and Household Consumption: Evidence from China.Yao Li, Haiming Long & Jiajun Ouyang - 2022 - Complexity 2022:1-14.
    Financial development is often considered one of the main drivers promoting household consumption. As a form of financial development, whether digital financial inclusion can promote household consumption has been a concern for researchers and policymakers. Considering geographical connectivity characteristics, we examine the effects of digital financial inclusion on household consumption by applying spatial econometric models and using data from 31 provinces in China from 2013 to 2018. The impact of digital financial inclusion is further disaggregated into direct, indirect, and total (...)
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  204.  9
    Incorporating Transformers and Attention Networks for Stock Movement Prediction.Yawei Li, Shuqi Lv, Xinghua Liu & Qiuyue Zhang - 2022 - Complexity 2022:1-10.
    Predicting stock movements is a valuable research field that can help investors earn more profits. As with time-series data, the stock market is time-dependent and the value of historical information may decrease over time. Accurate prediction can be achieved by mining valuable information with words on social platforms and further integrating it with actual stock market conditions. However, many methods still cannot effectively dig deep into hidden information, integrate text and stock prices, and ignore the temporal dependence. Therefore, to solve (...)
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  205.  13
    Applications of Uncertainty Models as Support in Smart Buildings and Ethical Computing in Edge Computing of Smart Cities.Ying Li & Trip Huwan - 2022 - Complexity 2022:1-13.
    In order to improve the effect of smart city construction, this paper combines smart buildings and ethical computing to conduct research on smart city edge computing. The new smart city architecture based on the flexible deployment of edge computing and data slicing capabilities provides support for the transformation of smart city construction from hardware embedded technology, access means, and software data processing. Moreover, this paper uses information technology to collect, process, analyze, use the information to achieve intelligence, and integrate resources (...)
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  206.  8
    Understanding the Dynamics of Knowledge Building Process in Online Knowledge-Sharing Platform: A Structural Analysis of Zhihu Tag Network.Yongning Li, Lun Zhang & Ye Wu - 2022 - Complexity 2022:1-11.
    Through structural analysis of 8-year tag networks from online knowledge-sharing platforms, this study finds that, with the scale of tag networks growing quickly, the growth trend of number edges indicates that tag network follows densification law. The clustering coefficient and the average shortest path of the network show that the rapid growth of network size does not bring about the compartmentalization of the knowledge network, and the degree distribution of tag networks shows a truncated power-law distribution. According to the structural (...)
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  207.  12
    Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks.Yu Li & Peihua Liu - 2022 - Complexity 2022:1-8.
    Dragon boat sport is a traditional activity in China. In recent years, dragon boat sport has become more and more popular around the world. In order to face more challenges, it is urgent for athletes to enhance their own strength. Scientific training methods are particularly important for athletes, and accurate training data are the basis to support scientific training. Traditional mathematical statistic methods neither can sample signals accurately nor can they do real-time analysis and feedback the characteristics to each athlete. (...)
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  208.  8
    Default Risk Prediction of Enterprises Based on Convolutional Neural Network in the Age of Big Data: Analysis from the Viewpoint of Different Balance Ratios.Zhe Li, Zhenhao Jiang & Xianyou Pan - 2022 - Complexity 2022:1-18.
    In the age of big data, machine learning models are globally used to execute default risk prediction. Imbalanced datasets and redundant features are two main problems that can reduce the performance of machine learning models. To address these issues, this study conducts an analysis from the viewpoint of different balance ratios as well as the selection order of feature selection. Accordingly, we first use data rebalancing and feature selection to obtain 32 derived datasets with varying ratios of balance and feature (...)
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  209.  65
    Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model.Haijun Liang, Jingyu Lu & Nan Chen - 2022 - Complexity 2022:1-12.
    Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors act as nodes, and the edges represent traffic flow relationships between sectors. In addition, a cascading failure model is proposed to analyze the airspace sector network’s invulnerability. The critical threshold and the sector abnormality rate are determined according to the cascading failure measurement indexes. Based (...)
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  210.  13
    Analysis of Mutual Influence Relationships of Purchase Intention Factors of Electric Bicycles: Application of DEMATEL Taking into Account Information Uncertainty and Expert Confidence.Ching-Te Lin, Jen-Jen Yang, Wen-Jen Chiang, Jen-Jung Yang & Chin-Cheng Yang - 2022 - Complexity 2022:1-13.
    As the negative environmental impacts of transportation systems become more severe, governments and environmental groups are seeking more sustainable transportation options, such as replacing fuel-powered vehicles with electric vehicles and expanding public transportation systems to reduce the number of people driving on their own, in order to reduce the environmental impacts of transportation systems. At present, the rapid expansion of public transportation systems is not an easy task and requires a long period of time to plan for expansion and construction, (...)
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  211.  15
    The Impact of Internet Use on Corporate Tax Avoidance: Evidence from Chinese Enterprises.Gaoyi Lin, Yanyan Zhao, Wanmin Liu & Jianjun Zhou - 2022 - Complexity 2022:1-17.
    Based on the data of Chinese industrial enterprises from 2004 to 2009, a fixed-effect model is adopted in this paper to analyze the effect and the mechanism of the enterprises using the Internet on tax avoidance. The result shows that using the Internet will produce the peer effect, which enables enterprises to learn tax avoidance strategies on the Internet and makes the degree of tax avoidance between enterprises and other enterprises in the same industry converge. At the same time, using (...)
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  212.  8
    Adaptive Event-Triggered Finite-Time Tracking of Output-Constrained High-Order Nonlinear Systems with Time-Varying Powers.Fan Liu & You Wu - 2022 - Complexity 2022:1-15.
    This paper studies the adaptive event-triggered finite-time tracking of output-constrained high-order nonlinear systems with time-varying powers. Due to the presence of multiple unknown powers and the consideration of event-triggered control, all the existing control methods of output-constrained nonlinear systems are inapplicable. By introducing nonlinear mappings, finite-time performance functions, and low-power and high-power terms into adding a power integrator technique and the relative threshold strategy, an adaptive state-feedback controller is designed to eliminate the effects caused by the output constraint and time-varying (...)
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  213.  21
    On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models.Guangwu Liu, Muhammad Kamran Siddiqui, Shazia Manzoor, Muhammad Naeem & Douhadji Abalo - 2022 - Complexity 2022:1-14.
    To avoid exorbitant and extensive laboratory experiments, QSPR analysis, based on topological descriptors, is a very constructive statistical approach for analyzing the numerous physical and chemical properties of compounds. Therefore, we presented some new entropy measures which are based on the sum of the neighborhood degree of the vertices. Firstly, we made the partition of the edges of benzene derivatives which are based on the degree sum of neighboring vertices and then computed the neighborhood version of entropies. Secondly, we made (...)
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  214.  7
    Connection Characteristics and Hierarchical Structure of China’s Urban Network-Based on the Communications Technology Service Industry.Hailong Liu, Yu Zhang, Ziyu Sang, Weiqiao Wang, Liping Zhang & Man Li - 2022 - Complexity 2022:1-13.
    Considering the importance of China’s digital economy, industrial Internet, and high-quality development, this study analyzed China’s urban network from the perspective of the communications technology service industry. Three sub-networks and a comprehensive network were constructed. The density, centrality, and cohesive subgroups of the above network were identified. The results show that: cohesion of urban networks in China is weak and resource sharing is low. From west to east, the urban network forms a multilevel diamond structure in the periphery, a parallelogram (...)
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  215.  60
    Exponential Synchronization of Complex Dynamical Networks via a Novel Sampled-Data Control.Haixia Liu & Tianbo Wang - 2022 - Complexity 2022:1-9.
    This paper investigates the exponential synchronization of complex dynamical networks based on the sampled-data control method. The sampled-data control means that the control input remains unchanged for a long time after each sampling, which can reduce the sampling number. By using the stability theory of the dynamical systems, this paper provides a novel sampling controller and estimates the bound of the sampling interval. Finally, a numerical example is given to demonstrate the effectiveness of the proposed design technique.
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  216.  14
    The Laplacian Spectrum, Kirchhoff Index, and the Number of Spanning Trees of the Linear Heptagonal Networks.Jia-Bao Liu, Jing Chen, Jing Zhao & Shaohui Wang - 2022 - Complexity 2022:1-10.
    Let H n be the linear heptagonal networks with 2 n heptagons. We study the structure properties and the eigenvalues of the linear heptagonal networks. According to the Laplacian polynomial of H n, we utilize the method of decompositions. Thus, the Laplacian spectrum of H n is created by eigenvalues of a pair of matrices: L A and L S of order numbers 5 n + 1 and 4 n + 1 n! / r! n − r!, respectively. On the (...)
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  217.  8
    Joint Optimization Decision of Online Retailers’ Pricing and Live-Streaming Effort in the Postepidemic Era.Jinrong Liu, Qi Xu & Zhongmiao Sun - 2022 - Complexity 2022:1-11.
    The isolation requirements of the coronavirus epidemic and the intuitive display advantages of live-streaming have led to an increasing number of retailers shifting to social live-streaming platforms and e-commerce live-streaming platforms to promote and sell their products in real time. However, the provision of live-streaming services will also incur high live-streaming effort costs. In this paper, we develop two decision models for retailers to sell goods through a single online shop and both online shop and live-streaming room; we also present (...)
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  218.  10
    Numerical Investigation of the Nonlinear Coupled Fractional Massive Thirring Equation Using Two-Scale Approach.Jinxing Liu, Muhammad Nadeem, Mustafa Habib, Shazia Karim & Harun Or Roshid - 2022 - Complexity 2022:1-8.
    In this paper, we investigate the numerical solution of the coupled fractional massive Thirring equation with the aid of He’s fractional complex transform. This study plays a significant aspect in the field of quantum physics, weakly nonlinear thrilling waves, and nonlinear optics. The main advantage of FCT is that it converts the fractional differential equation into its traditional parts and is also capable to handle the fractional order, whereas the homotopy perturbation method is employed to tackle the nonlinear terms in (...)
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  219.  16
    Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours.Miaomiao Liu, Yang Wang, Jing Chen & Yongsheng Zhang - 2022 - Complexity 2022:1-16.
    A link prediction model for weighted networks based on Dempster–Shafer evidence theory and the influence of common neighbours is proposed in this paper. First, three types of future common neighbours and their topological structures are proposed. Second, the concepts of endpoint weight influence, link weight influence, and high-strength node influence are introduced. Then, the similarity based on the impacts of current common neighbours and FCNs is defined, respectively. Finally, the two similarity indices are fused by the DS evidence theory. This (...)
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  220.  13
    Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks.Shihua Liu - 2022 - Complexity 2022:1-13.
    The clustering of mixed-attribute data is a vital and challenging issue. The density peaks clustering algorithm brings us a simple and efficient solution, but it mainly focuses on numerical attribute data clustering and cannot be adaptive. In this paper, we studied the adaptive improvement method of such an algorithm and proposed an adaptive mixed-attribute data clustering method based on density peaks called AMDPC. In this algorithm, we used the unified distance metric of mixed-attribute data to construct the distance matrix, calculated (...)
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  221.  14
    Quantitative Analysis of COVID-19 Pandemic Responses Based on an Improved SEIR-SD Model.Yang Liu, Bingrui Liu, Yi Deng & Jia Liu - 2022 - Complexity 2022:1-18.
    In late 2019, the COVID-19 pandemic began to spread over the world, causing millions of deaths. In the first few months of the pandemic, several countries prevented the spread of the pandemic successfully. By contrast, the pandemic in many other countries was not controlled well. For example, India encountered a second serious outbreak of COVID-19 from April 2021 due to the poor resistance measures implemented by the government. To figure out the effective countermeasures to the pandemic, this research proposes a (...)
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  222.  14
    Vibration Suppression of a Coupled Aircraft Wing with Finite-Time Convergence.Yiming Liu, Zhifeng Tan, Xiaofen Yang & Xiaowei Wang - 2022 - Complexity 2022:1-14.
    A nonlinear coupled wing model subject to unknown external disturbances is proposed in this paper. Since the model is modeled by partial differential equations, the traditional control design scheme based on the ordinary differential equation model is not applicable, and the control law design becomes very complex. In this paper, a new antidisturbance boundary control scheme based on a finite time convergent disturbance observer is proposed. The control laws are designed based on the new disturbance observers to make the external (...)
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  223.  17
    Effects of Land Use/Cover Change on the Ecosystem Service Values in the Greater Bay Area of China Accounting for Spatiotemporal Complexity.Yingying Liu, Yalan Shi & Chunyu Liu - 2022 - Complexity 2022:1-17.
    With the rapid development of the economy, the land use/cover change in the Greater Bay Area has undergone tremendous changes, which have had directly negative effects on ecosystem functions and services. The development of sustainable land use strategies to quantitatively evaluate ecosystem services is required. Based on multitemporal land use data, the equivalent coefficients table method was used to assess the ecosystem service values, and the impact of LUCC on ecosystem services was analyzed. A future land use simulation model and (...)
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  224.  8
    Study on the Heterogeneity of Social Security Affecting the Sense of Security of Urban and Rural Residents.Yuanfeng Liu & Shujiao Luo - 2022 - Complexity 2022:1-6.
    Social security is an important part of the national security system from the perspective of the overall security concept, and social security is an important influencing factor of social security. Using the CFPS2018 data, this study uses the critical weight method to measure residents’ individual security and uses path analysis to empirically study the impact of endowment insurance and medical insurance on residents’ security in urban and rural areas. The results show that the depth of endowment insurance has a significant (...)
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  225.  14
    Paths Study on Knowledge Convergence and Development in Computational Social Science: Data Metric Analysis Based on Web of Science.Yuxi Liu, Xin Feng, Yue Zhang, Ying Kong & Rongyao Yang - 2022 - Complexity 2022:1-18.
    Computational social science, as an emerging interdisciplinary discipline, is a field ushered in by long-term development of traditional social science. It is committed to supplying data thinking, resources, and analytics to study human social behavior and social operation laws to accurately grasp and judge the developing path of the discipline, which is of great significance to promote the innovation and development of social sciences. This study is to conduct a systematic quantitative analysis from a bibliometric perspective, aiming to provide a (...)
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  226.  13
    Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China’s Spots and Options’ Markets.Zhaohua Liu, Susheng Wang, Siyi Liu, Haixu Yu & He Wang - 2022 - Complexity 2022:1-14.
    This study investigates the volatility risk premium on the emerging financial market. We also consider the expected return and ESG sentiment. Based on the SSE 50 ETF 5-minute high-frequency spots and daily options data from 2016 to 2021, we adopt nonparametric model-free approaches to calculate realized and implied volatilities. And the volatility risk premium is constructed by subtracting these volatility series. We examine the relations between the volatility risk premium and future excess returns as well as ESG sentiment through multifactor (...)
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  227.  11
    Performance of the 2D Coupled Map Lattice Model and Its Application in Image Encryption.Zhuo Liu, Jin Yuan Liu, Leo Yu Zhang, Yong Zhao & Xiao Feng Gong - 2022 - Complexity 2022:1-18.
    The two-dimensional coupled map lattice model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent, synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on (...)
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  228.  13
    Passenger Behavior Simulation in Congested Urban Rail Transit System: A Capacity-Limited Optimal Strategy Model for Passenger Assignment.Kai Lu & Nan Cao - 2022 - Complexity 2022:1-13.
    Optimal strategy, one of the main transit assignment models, can better demonstrate the flexibility for passengers using routes in a transit network. According to the basic optimal strategy model, passengers can board trains based on their frequency without any capacity limitation. In the metropolitan cities such as Beijing, Shanghai, and Hong Kong, morning commuters face huge transit problems. Especially for the metro system, there is heavy rush in metro stations. Owing to the limited train capacity, some passengers cannot board the (...)
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  229.  11
    Design of a Small Quadruped Robot with Parallel Legs.Ming Lu, Baorui Jing, Hao Duan & Guanbin Gao - 2022 - Complexity 2022:1-11.
    In this paper, a lightweight and modular design of a quadruped robot with two-degree-of-freedom parallel legs is presented. To reduce the weight and enhance the transmission accuracy, the horizontal layout of the driving end is adopted for designing the legs of the quadruped robot. The rotation angle of each actuator for the quadruped robot is analyzed by the inverse kinematics algorithm. Moreover, the trajectory of the foot-end, including support and swing phases, is planned to reduce the impact between the foot-end (...)
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  230.  12
    Model Averaging Estimation Method by Kullback–Leibler Divergence for Multiplicative Error Model.Wanbo Lu & Wenhui Shi - 2022 - Complexity 2022:1-13.
    In this paper, we propose the model averaging estimation method for multiplicative error model and construct the corresponding weight choosing criterion based on the Kullback–Leibler divergence with a hyperparameter to avoid the problem of overfitting. The resulting model average estimator is proved to be asymptotically optimal. It is shown that the Kullback–Leibler model averaging estimator asymptotically minimizes the in-sample Kullback–Leibler divergence and improves the forecast accuracy of out-of-sample even under different loss functions. In simulations, we show that the KLMA estimator (...)
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  231.  14
    A Novel Approach to Improving E-Government Performance from Budget Challenges in Complex Financial Systems.Enkeleda Lulaj, Ismat Zarin & Shawkat Rahman - 2022 - Complexity 2022:1-16.
    Today, the risk management of budget challenges throughout the budget process is greater than ever. The process of change has been driven by new information and communication technologies, resulting in e-government. The purpose of this scientific paper is to see whether budgetary challenges have an effect on the performance of e-government in complex financial systems based on factors F1, F2, F3, F4, and F5: lack of information, lack of cooperation, lack of resources and reduction of focus, lack of budget experts (...)
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  232.  10
    Consensus of Time-Varying Interval Uncertain Multiagent Systems via Reduced-Order Neighborhood Interval Observer.Hui Luo, Jin Zhao & Quan Yin - 2022 - Complexity 2022:1-14.
    This work focuses on a multiagent system with time-varying interval uncertainty in the system matrix, where multiple agents interact through an undirected topology graph and only the bounding matrices on the uncertainty in the system matrix are known. A reduced-order interval observer, which is named the reduced-order neighborhood interval observer, is designed to estimate the relative state of each agent and those of its neighbors. It is shown that the reduced-order IO can guarantee the consensus of the uncertain multiagent system. (...)
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  233.  9
    Semianalytical Approach for the Approximate Solution of Delay Differential Equations.Xiankang Luo, Mustafa Habib, Shazia Karim & Hanan A. Wahash - 2022 - Complexity 2022:1-6.
    In this analysis, we develop a new approach to investigate the semianalytical solution of the delay differential equations. Mohand transform coupled with the homotopy perturbation method is called Mohand homotopy perturbation transform method and performs the solution results in the form of series. The beauty of this approach is that it does not need to compute the values of the Lagrange multiplier as in the variational iteration method, and also, there is no need to implement the convolution theorem as in (...)
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  234.  14
    Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021.Zhihan Lv, Kaoru Ota, Jaime Lloret, Wei Xiang & Paolo Bellavista - 2022 - Complexity 2022:1-3.
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  235.  15
    Analysis of Factors Influencing Stock Market Volatility Based on GARCH-MIDAS Model.Dan Ma, Tianxing Yang, Liping Liu & Yi He - 2022 - Complexity 2022:1-10.
    This paper further extends the existing GARCH-MIDAS model to deal with the effect of microstructure noise in mixed frequency data. This paper has two highlights. First, according to the estimation of the long-term volatility components of the GARCH-MIDAS model, rAVGRV is adopted to substitute for the RV estimator. rAVGRV uses the rich data sources in tick-by-tick data and significantly corrects the impact of the microstructure noise on volatility estimation. Second, besides introducing macroeconomic variables, deposits in financial institutions, industrial value-added, and (...)
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  236.  12
    The Credit Risk Contagion Mechanism of Financial Guarantee Network: An Application of the SEIR-Epidemic Model.Guojian Ma, Juan Ding & Youqing Lv - 2022 - Complexity 2022:1-14.
    Financing guarantee is an important means and key link to solve the financing difficulties of small- and medium-size enterprises. However, while financial guarantees alleviate the financing difficulties of SMEs, the complex guarantee relationships also constitute a new channel for credit risk contagion in the financial guarantee network. In this paper, we construct a model of credit risk contagion process of guarantee network based on SEIR and analyse the equilibrium point and stability of the model. Then, we find the threshold value (...)
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  237.  9
    Linking Psychological Ownership to Innovative Behaviour in the Workplace: Empirical Evidence from Complex Management Systems in Pakistan.Minhas Mahsud, Hao Jinxing, Zafar Mahsud, Zhiqiang Chen & Mumuni Napari Hanifatu - 2022 - Complexity 2022:1-12.
    This research work investigates the association between psychological ownership and innovative behaviour with knowledge hiding and knowledge sharing as mediators. The latter variables are presented as focal antecedents of preventive and promotive psychological ownership. To conduct the study, a theoretical framework was proposed, and data was collected from professionals working in complex management systems in Pakistan. The analysis revealed that knowledge hiding and knowledge sharing can exist simultaneously, and psychological ownership can evoke both positive and negative feelings in employees, which (...)
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  238.  17
    Robust H ∞ Control of DC Motor in the Presence of Input Delay and Disturbance by the Predictor-Based Method.Nima Maleki & Elahe Moradi - 2022 - Complexity 2022:1-10.
    In this study, the speed control of a DC motor with input delay and external disturbance is investigated. A delay-dependent memory state feedback robust predictor-based H ∞ controller that formerly has presented is utilized. Sufficient LMIs conditions provide the stabilizing gain of the predictor-based controller. The first-order model of a DC motor has been studied previously using PID and STA methods. However, in this paper, the delay-dependent robust H ∞ controller is used on both the first and second orders of (...)
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  239.  21
    Self-Organization in Network Sociotechnical Systems.Svetlana Maltseva, Vasily Kornilov & Vladimir Barakhnin - 2022 - Complexity 2022:1-24.
    We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; (...)
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  240.  32
    Calculating Zero Pronominals in Situ: A Type Logical Approach.Haixia Man, Chongli Zou & Kesheng Li - 2022 - Complexity 2022:1-8.
    Zero pronominals challenge Type Logical Grammar in two ways. One, TLG displays a linear resource management regime for semantic composition, meaning that pronominals call for special treatment if they want to do resource multiplication. Two, as a grammar of lexicalism, TLG applies to phonologically realized lexical entries only, illegitimating the phonetically null items during syntactic derivation. Jägor extends the inventory of category-forming connectives of TLG by a third kind of implication that creates categories of anaphoric items and solves the first (...)
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  241.  12
    An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection.C. Manzano, C. Meneses, P. Leger & H. Fukuda - 2022 - Complexity 2022:1-18.
    Malware is a sophisticated, malicious, and sometimes unidentifiable application on the network. The classifying network traffic method using machine learning shows to perform well in detecting malware. In the literature, it is reported that this good performance can depend on a reduced set of network features. This study presents an empirical evaluation of two statistical methods of reduction and selection of features in an Android network traffic dataset using six supervised algorithms: Naïve Bayes, support vector machine, multilayer perceptron neural network, (...)
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  242.  13
    The Effect of Green Intellectual Capital on Green Performance in the Spanish Wine Industry: A Structural Equation Modeling Approach.Bartolomé Marco-Lajara, Patrocinio Zaragoza-Sáez, Javier Martínez-Falcó & Lorena Ruiz-Fernández - 2022 - Complexity 2022:1-17.
    Global environmental problems, such as global warming, pollution, or deforestation, are critical issues that require a rapid and common response. In this context, companies play a decisive role in achieving environmental objectives through the ecological knowledge they can store and manage. In this context, the present research focuses its interest on analyzing how the set of green intangibles possessed by organizations, i.e., Green Intellectual Capital, affects their Green Performance. Specifically, the study shows how GP is influenced by GIC through the (...)
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  243.  19
    Existence of Solution and Self-Exciting Attractor in the Fractional-Order Gyrostat Dynamical System.Muhammad Marwan, Gauhar Ali & Ramla Khan - 2022 - Complexity 2022:1-14.
    This work identifies the influence of chaos theory on fractional calculus by providing a theorem for the existence and stability of solution in fractional-order gyrostat model with the help of a fixed-point theorem. We modified an integer order gyrostat model consisting of three rotors into fractional order by attaching rotatory fuel-filled tank and provided an iterative scheme for our proposed model as a working rule of obtained analytical results. Moreover, this iterative scheme is injected into algorithms for a system of (...)
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  244.  22
    Analysis of the Fractional-Order Delay Differential Equations by the Numerical Method.Saadia Masood, Muhammad Naeem, Roman Ullah, Saima Mustafa & Abdul Bariq - 2022 - Complexity 2022:1-14.
    In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the (...)
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  245.  15
    A Composite Index for Measuring Stock Market Inefficiency.Raffaele Mattera, Fabrizio Di Sciorio & Juan E. Trinidad-Segovia - 2022 - Complexity 2022:1-13.
    Market inefficiency is a latent concept, and it is difficult to be measured by means of a single indicator. In this paper, following both the adaptive market hypothesis and the fractal market hypothesis, we develop a new time-varying measure of stock market inefficiency. The proposed measure, called composite efficiency index, is estimated as the synthesis of the most common efficiency measures such as the returns’ autocorrelation, liquidity, volatility, and a new measure based on the Hurst exponent, called the Hurst efficiency (...)
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  246.  12
    Very Short-Term Blackout Prediction for Grid-Tied PV Systems Operating in Low Reliability Weak Electric Grids of Developing Countries.Benson H. Mbuya, Aleksandar Dimovski, Marco Merlo & Thomas Kivevele - 2022 - Complexity 2022:1-13.
    Sub-Saharan emerging countries experience electrical shortages resulting in power rationing, which ends up hampering economic activities. This paper proposes an approach for very short-term blackout forecast in grid-tied PV systems operating in low reliability weak electric grids of emerging countries. A pilot project was implemented in Arusha-Tanzania; it mainly comprised of a PV-inverter and a lead-acid battery bank connected to the local electricity utility company, Tanzania Electric Supply Company Limited. A very short-term power outage prediction model framework based on a (...)
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  247.  29
    On the Rejection of Random Perturbations and the Tracking of Random References in a Quadrotor.Jesus Alberto Meda-Campaña, Jonathan Omega Escobedo-Alva, José de Jesús Rubio, Carlos Aguilar-Ibañez, Jose Humberto Perez-Cruz, Guillermo Obregon-Pulido, Ricardo Tapia-Herrera, Eduardo Orozco, Daniel Andres Cordova & Marco Antonio Islas - 2022 - Complexity 2022:1-16.
    In this note, the problem of tracking random references and rejecting random perturbations in a quadrotor, both generated by an auxiliary system named exosystem, is solved by extending the deterministic tracking problem to the area of stochastic processes. Besides, it is considered that only a part of the state vector of the quadrotor is available through measurements. As a consequence, the state vector of the plant must be estimated in order to close the control loop. On this basis, a controller (...)
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  248.  15
    Systematic Framework to Predict Early-Stage Liver Carcinoma Using Hybrid of Feature Selection Techniques and Regression Techniques.Marium Mehmood, Nasser Alshammari, Saad Awadh Alanazi & Fahad Ahmad - 2022 - Complexity 2022:1-11.
    The liver is the human body’s mandatory organ, but detecting liver disease at an early stage is very difficult due to the hiddenness of symptoms. Liver diseases may cause loss of energy or weakness when some irregularities in the working of the liver get visible. Cancer is one of the most common diseases of the liver and also the most fatal of all. Uncontrolled growth of harmful cells is developed inside the liver. If diagnosed late, it may cause death. Treatment (...)
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  249.  12
    An Efficient Conformable Fractional Chaotic Map-Based Online/Offline IBSS Scheme for Provable Security in ROM.Chandrashekhar Meshram, Rabha W. Ibrahim & Rafida M. Elobaid - 2022 - Complexity 2022:1-11.
    Chaos distributes with a covert method to condense the dynamic of complexity and satisfies the security requirements of a cryptographic system. This study gives an ability online/offline ID-based short signature scheme using conformable fractional chaotic maps. Furthermore, we establish its security under IBSS existential unforgeability of identity-based short signature under chosen message attack in the random oracle model. Some of the stimulating preparations of obtainable processes are that they give a multiperiod application of the offline storage, which licenses the agent (...)
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  250.  16
    A Comprehensive Skills Analysis of Novice Software Developers Working in the Professional Software Development Industry.Imdad Ahmad Mian, Undefined Ijaz-Ul-Haq, Aamir Anwar, Roobaea Alroobaea, Syed Sajid Ullah, Fahad Almansour & Fazlullah Umar - 2022 - Complexity 2022:1-12.
    Measuring and evaluating a learner’s learning ability is always the focus of every person whose aim is to develop strategies and plans for their learners to improve the learning process. For example, classroom assessments, self-assessment using computer systems such as Intelligent Tutoring Systems, and other approaches are available. Assessment of metacognition is one of these techniques. Having the ability to evaluate and monitor one’s learning is known as metacognition. An individual can then propose adjustments to their learning process based on (...)
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  251.  5
    A New Technique for Solving Neutral Delay Differential Equations Based on Euler Wavelets.Mutaz Mohammad & Alexander Trounev - 2022 - Complexity 2022:1-8.
    An effective numerical scheme based on Euler wavelets is proposed for numerically solving a class of neutral delay differential equations. The technique explores the numerical solution via Euler wavelet truncated series generated by a set of functions and matrix inversion of some collocation points. Based on the operational matrix, the neutral delay differential equations are reduced to a system of algebraic equations, which is solved through a numerical algorithm. The effectiveness and efficiency of the technique have been illustrated by several (...)
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  252.  12
    Analysis and Characterization of the Spread of COVID-19 in Mexico through Complex Networks and Optimization Approaches.Edwin Montes-Orozco, Roman-Anselmo Mora-Gutiérrez, Sergio-Gerardo de-los-Cobos-Silva, Eric A. Rincón-García, Miguel A. Gutiérrez-Andrade & Pedro Lara-Velázquez - 2022 - Complexity 2022:1-12.
    This work analyzes and characterizes the spread of the COVID-19 disease in Mexico, using complex networks and optimization approaches. Specifically, we present two methodologies based on the principle of the rupture for the GC and Newton's law of motion to quantify the robustness and identify the Mexican municipalities whose population causes a fast spread of the SARS-CoV-2 virus. Specifically, the first methodology is based on several characteristics of the original version of the Vertex Separator Problem, and the second is based (...)
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  253.  11
    A Comprehensive Method for Improving the Quality of Open Government Data and Increasing Citizens’ Willingness to Use Data by Analyzing the Complex System of Citizens and Organizations.Mohammad Moradi, Mojtaba Mazoochi & Mohammad Ahmadi - 2022 - Complexity 2022:1-14.
    In recent years, the amount of data in the world is growing rapidly. Data growth also occurs in the government sector. All ministries and institutions at every level are data producers. These government-owned data have a high potential if they can be used properly. Open government data can stimulate innovation and economic growth and enhance business models. In order to increase the willingness of citizens to use open government data and enjoy the benefits mentioned, the quality of open government data (...)
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  254.  10
    Integration and Modeling of Multi-Energy Network Based on Energy Hub.Min Mou, Yuhao Zhou, Wenguang Zheng & Yurong Xie - 2022 - Complexity 2022:1-11.
    The energy conversion units and energy storage equipment connected to the multi-energy system are becoming diversified, and the uncertain factors brought by distributed wind power and photovoltaic power generation make the system energy flow structure more complex, which brings great difficulties to the modeling and application of traditional energy hub modeling methods. This study deeply analyzes the multi-energy flow coupling structure and operation mechanism of multi-energy systems, and carries out the power flow calculation and analysis of multi-energy systems based on (...)
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  255.  12
    Modeling the Interaction Networks about the Climate Change on Twitter: A Characterization of its Network Structure.Mary Luz Mouronte-López & Marta Subirán - 2022 - Complexity 2022:1-20.
    This work studies the interaction networks that arise on Twitter in relation to such a relevant topic as climate change. We detected that the largest connected component of these networks presents low values of average degree and betweenness, as well as a small diameter compared to the total number of nodes in the network. The largest connected component of retweeting and quoting networks also exhibits very low negative assortativity. The quoting and retweeting networks have a more hierarchical structure than the (...)
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  256.  82
    Adaptive Event-Triggered Control for Complex Dynamical Network with Random Coupling Delay under Stochastic Deception Attacks.M. Mubeen Tajudeen, M. Syed Ali, Syeda Asma Kauser, Khanyaluck Subkrajang, Anuwat Jirawattanapanit & Grienggrai Rajchakit - 2022 - Complexity 2022:1-12.
    This study concentrates on adaptive event-triggered control of complex dynamical networks with unpredictable coupling delays and stochastic deception attacks. The adaptive event-triggered mechanism is used to avoid the wasting of limited bandwidth. The probability of data communicated by the network is established by statistical properties and Bernoulli stochastic variables with an uncertain occurrence probability. Stability analysis based on Lyapunov–Krasovskii functional and the stability of the closed-loop system is guaranteed. Using the LMI technique, we obtain triggered parameters. To demonstrate the feasibility (...)
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  257.  12
    Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data.Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N. Alshahrani, Mohammed Alqawba & Sanaa Al-Marzouki - 2022 - Complexity 2022:1-10.
    In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive LASSO with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. For analytical comparison, we implement Monte Carlo simulation and assess the performance of these techniques in terms of out-of-sample Root Mean Square Error, Gauge, and Potency. The comparison is assessed with (...)
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  258.  11
    An Application of Fuzzy Multiple Linear Regression in Biological Paradigm.Saima Mustafa, Shumaila Ghaffar, Murrium Bibi, Muhammad Ghaffar Khan, Qaisara Praveen, Harish Garg & Mahamane Saminou - 2022 - Complexity 2022:1-6.
    The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Information is accumulated on dengue fever through the survey. This paper is centered on the comparison of the crisp method with fuzzy multiple linear regression, and then, the utilization of a fuzzy multiple (...)
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  259.  81
    Wiener Index of Intuitionistic Fuzzy Graphs with an Application to Transport Network Flow.Tulat Naeem, Muhammad Kamran Jamil, Khawaja Muhammad Fahd & Abdu alAmeri - 2022 - Complexity 2022:1-14.
    The Wiener index WI is one of the connectivity parameters used to know the biochemical and physicochemical properties of compounds depending upon their molecular structures. Intuitionistic fuzzy graphs IFG s are a convenient tool to represent the objects and relations between them with two types of information using truth membership degree and falsity membership degree. This research work presents the concept of WI under the structure IFG s, I F trees, and I F cycles. Some bounds on WI are investigated. (...)
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  260.  24
    Evaluating and Identifying Climatic Design Features in Traditional Iranian Architecture for Energy Saving.Amirmasood Nakhaee Sharif, Sanaz Keshavarz Saleh, Sadegh Afzal, Niloofar Shoja Razavi, Mozhdeh Fadaei Nasab & Samireh Kadaei - 2022 - Complexity 2022:1-12.
    In the last decades, researchers have been considering some fundamental issues such as energy saving, global warming, greenhouse emissions, and non-renewable energy to make models of house environmental standards to achieve a suitable consumption pattern for saving energy. In architecture, using natural energy is one of the essential pillars of design because it was one of the criteria of designing, which was considered on climate and geography, and it has been a high performance of climate adaptation in the modeling of (...)
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  261.  16
    Evolutionary Game of Social Network for Emergency Mobilization (SNEM) of Magnitude Emergencies: Evidence from China.Rui Nan, Jingjie Wang & Wenjun Zhu - 2022 - Complexity 2022:1-13.
    As a common social network, the SNEM plays an important role in emergency management. Magnitude emergencies are characterized by high complexity and uncertainty, and it is impossible to rely on the government for emergency management alone. We should absorb multiple subjects to build the SNEM and carry out extensive emergency mobilization in the whole society. The SNEM can integrate resources, gather consensus, promote participation, and reduce risks. The analysis of the types, generation mechanism, subject behavior, and strategy selection of the (...)
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  262.  15
    Evaluation of Network Security Service Provider Using 2-Tuple Linguistic Complex q -Rung Orthopair Fuzzy COPRAS Method.Sumera Naz, Muhammad Akram, Mohammed M. Ali Al-Shamiri & Muhammad Ramzan Saeed - 2022 - Complexity 2022:1-27.
    In recent years, network security has become a major concern. Using the Internet to store and analyze data has become an integral aspect of the production and operation of many new and traditional enterprises. However, many enterprises lack the necessary resources to secure information security, and selecting the best network security service provider has become a real issue for many enterprises. This research introduces a novel decision-making method utilizing the 2-tuple linguistic complex q-rung orthopair fuzzy numbers to tackle this issue. (...)
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  263.  36
    A Novel Hybrid Control Algorithm Sliding Mode-PID for the Active Suspension System with State Multivariable.Duc Ngoc Nguyen & Tuan Anh Nguyen - 2022 - Complexity 2022:1-14.
    This paper introduces a novel method to control the operation of the active suspension system. In this research, a quarter-dynamic model is used to simulate the vehicle’s vibrations. Besides, the sliding mode-PID-integrated algorithm with five state variables is proposed to be used. This is a completely original and novel algorithm. The process of establishing the control algorithm is clearly described. The simulation is performed by the MATLAB software. The results of the paper have shown the advantages of the sliding mode-PID (...)
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  264.  25
    Planning the Emergency Collision Avoidance Strategy Based on Personal Zones for Safe Human-Machine Interaction in Smart Cyber-Physical System.Thanh Phuong Nguyen, Hung Nguyen & Ha Quang Thinh Ngo - 2022 - Complexity 2022:1-21.
    Human contact is a key issue in social interactions for autonomous systems since robots are increasingly appearing everywhere, which has led to a higher risk of conflict. Particularly in the real world, collisions between humans and machines may result in catastrophic accidents or damaged goods. In this paper, a novel stop strategy related to autonomous systems is proposed. This control method can eliminate the vibrations produced by a system’s movement by analysing the poles and zeros in the model of autonomous (...)
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  265.  14
    An Improved Sequential Recommendation Algorithm based on Short-Sequence Enhancement and Temporal Self-Attention Mechanism.Jianjun Ni, Guangyi Tang, Tong Shen, Yu Cai & Weidong Cao - 2022 - Complexity 2022:1-15.
    Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. However, most sequential recommendation models only consider the absolute positions of items in the sequence, ignoring the time interval information between items, and cannot effectively mine user preference changes. In addition, existing models perform poorly on sparse data sets, which make a poor prediction effect for short sequences. To address the above problems, an improved sequential recommendation algorithm based on short-sequence (...)
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  266.  10
    Flexible Least Squares Algorithm for Switching Models.Yunxia Ni, Lixing Lv & Yuejiang Ji - 2022 - Complexity 2022:1-11.
    The self-organizing model and expectation-maximization method are two traditional identification methods for switching models. They interactively update the parameters and model identities based on offline algorithms. In this paper, we propose a flexible recursive least squares algorithm which constructs the cost function based on two kinds of errors: the neighboring two-parameter estimation errors and the output estimation errors. Such an algorithm has several advantages over the two traditional identification algorithms: it can estimate the parameters of all the sub-models without prior (...)
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  267.  11
    Assessing the Probability of Drought Severity in a Homogeneous Region.Rizwan Niaz, Mohammed M. A. Almazah, Ijaz Hussain, Joao Dehon Pontes Filho, Nadhir Al-Ansari & Saad Sh Sammen - 2022 - Complexity 2022:1-8.
    The standardized precipitation index is one of the most widely used indices for characterizing and monitoring drought in various regions. SPI's applicability has regional and time-scale constraints when it observes in several homogeneous climatic regions with similar characteristics. It also does not provide sufficient knowledge about precipitation deficits and the spatiotemporal evolution of drought. Therefore, a new method, the regional spatially agglomerative continuous drought probability monitoring system, is proposed to obtain spatiotemporal information and monitor drought characteristics more expeditiously. The proposed (...)
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  268.  13
    Characterization of Meteorological Drought Using Monte Carlo Feature Selection and Steady-State Probabilities.Rizwan Niaz, Fahad Tanveer, Mohammed M. A. Almazah, Ijaz Hussain, Soliman Alkhatib & A. Y. Al-Razami - 2022 - Complexity 2022:1-19.
    Drought is a creeping phenomenon that slowly holds an area over time and can be continued for many years. The impacts of drought occurrences can affect communities and environments worldwide in several ways. Thus, assessment and monitoring of drought occurrences in a region are crucial for reducing its vulnerability to the negative impacts of drought. Therefore, comprehensive drought assessment techniques and methods are required to develop adaptive strategies that a region can undertake to reduce its vulnerability to drought substantially. For (...)
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  269.  29
    Analysis on the Types and Characteristics of Collusion Behavior of Government Investment Project Tenderees.Sirui Nie, Yun Chen, Jingjing Li, Wenxi Zhu & Chongsen Ma - 2022 - Complexity 2022:1-13.
    The classification of collusion behaviors of government-invested project tenderers is one of the important methods to describe the characteristics and laws of collusion behaviors and strengthen the governance of collusion. Firstly, the variables that affect the type of collusion behavior are selected and cluster analysis is carried out on the cases of collusion in government investment project bidding. Then use the social network to mine the types and characteristics of the collusion behavior of the tenderee. Finally, a BP neural network (...)
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  270.  10
    Economic Policy Uncertainty and Sectoral Trading Volume in the U.S. Stock Market: Evidence from the COVID-19 Crisis.Dohyun Pak & Sun-Yong Choi - 2022 - Complexity 2022:1-15.
    We empirically analyze the impact of economic uncertainty due to the COVID-19 pandemic on the trading volume of each sector in the S&P 500 index. Wavelet coherence analysis is carried out using economic policy uncertainty data and the trading volume of each sector in the S&P 500 index from July 2004 to September 2020. Furthermore, we apply multifractal detrended fluctuation analysis to the trading volume series of all sectors. The wavelet coherence analysis shows that the COVID-19 pandemic has substantially influenced (...)
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  271.  16
    Chaotic Honeybees Optimization Algorithms Approach for Traveling Salesperson Problem.Pedro Palominos, Carla Ortega, Miguel Alfaro, Guillermo Fuertes, Manuel Vargas, Mauricio Camargo, Victor Parada & Gustavo Gatica - 2022 - Complexity 2022:1-17.
    Due to the difficulty in solving combinatorial optimization problems, it is necessary to improve the performance of the algorithms by improving techniques to deal with complex optimizations. This research addresses the metaheuristics of marriage in honey-bees optimization based on the behavior of bees. The current study proposes a technique for solving combinatorial optimization problems within proper computation times. The purpose of this study focuses on the travelling salesperson problem and the application of chaotic methods in important sections of the MBO (...)
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  272.  12
    A Diagnosis Framework for High-reliability Equipment with Small Sample Based on Transfer Learning.Jinxin Pan, Bo Jing, Xiaoxuan Jiao, Shenglong Wang & Qingyi Zhang - 2022 - Complexity 2022:1-15.
    Conventional methods for fault diagnosis typically require a substantial amount of training data. However, for equipment with high reliability, it is arduous to form a large-scale well-annotated dataset due to the expense of data acquisition and costly annotation. Besides, the generated data have a large number of redundant features which degraded the performance of models. To overcome this, we proposed a feature transfer scenario that transfers knowledge from similar fields to enhance the accuracy of fault diagnosis with small sample. To (...)
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  273.  19
    Longitudinal Study of Credit Union Research: From Credit-Provision to Cooperative Principles, the Urban Economy and Gender Issues.Carlos Gabriel Parrales Choez, María del Carmen Valls Martínez & Pedro Antonio Martín-Cervantes - 2022 - Complexity 2022:1-17.
    Credit unions are o