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Hongmi Zhou
East China Normal University (PhD)
  1.  28
    Attribute Expression of Fault-Controlled Karst — Fort Worth Basin, Texas: A Tutorial.Jie Qi, Bo Zhang, Huailai Zhou & Kurt Marfurt - 2014 - Interpretation: SEG 2 (3):SF91-SF110.
    Much of seismic interpretation is based on pattern recognition, such that experienced interpreters are able to extract subtle geologic features that a new interpreter may easily overlook. Seismic pattern recognition is based on the identification of changes in amplitude, phase, frequency, dip, continuity, and reflector configuration. Seismic attributes, which providing quantitative measures that can be subsequently used in risk analysis and data mining, partially automate the pattern recognition problem by extracting key statistical, geometric, or kinematic components of the 3D seismic (...)
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  2.  40
    Seismic Attenuation Attributes with Applications on Conventional and Unconventional Reservoirs.Fangyu Li, Sumit Verma, Huailai Zhou, Tao Zhao & Kurt J. Marfurt - 2016 - Interpretation: SEG 4 (1):SB63-SB77.
    Seismic attenuation, generally related to the presence of hydrocarbon accumulation, fluid-saturated fractures, and rugosity, is extremely useful for reservoir characterization. The classic constant attenuation estimation model, focusing on intrinsic attenuation, detects the seismic energy loss because of the presence of hydrocarbons, but it works poorly when spectral anomalies exist, due to rugosity, fractures, thin layers, and so on. Instead of trying to adjust the constant attenuation model to such phenomena, we have evaluated a suite of seismic spectral attenuation attributes to (...)
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  3.  37
    Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm.Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang & Zhifu Li - 2017 - Complexity:1-11.
    Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa. The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion. In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium (...)
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  4.  4
    Customer–Company Identification as the Enabler of Customer Voice Behavior: How Does It Happen?Yang Ran & Hao Zhou - 2020 - Frontiers in Psychology 11.
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  5.  27
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Niu Cong, Jie Qi & Huailai Zhou - 2019 - Interpretation 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  6.  22
    The Thickness Imaging of Channels Using Multiple-Frequency Components Analysis.Yan Ye, Bo Zhang, Cong Niu, Jie Qi & Huailai Zhou - 2019 - Interpretation: SEG 7 (1):B1-B8.
    Blending of different frequency components of seismic traces is a common way to estimate the relative time thickness of the formation. Red, blue, and green color blending is one of the most popular blending models in analyzing multiple seismic attributes. Geologists and geophysicist interpreters typically associate low-frequency components with a red color, medium-frequency components with a green color, and high-frequency components with a blue color for the thickness estimation of thin beds using frequency components. However, we found that the same (...)
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  7.  12
    The Temporal Experience of Pleasure Scale : Measurement Invariance Across Gender in Chinese University Students.Huan Zhou, Wanting Liu, Jie Fan, Jie Xia, Jiang Zhu & Xiongzhao Zhu - 2019 - Frontiers in Psychology 10.
  8.  33
    The Indirect Path From Mindful Parenting to Emotional Problems in Adolescents: The Role of Maternal Warmth and Adolescents’ Mindfulness.Yuyin Wang, Yiying Liang, Linlin Fan, Kexiu Lin, Xiaolin Xie, Junhao Pan & Hui Zhou - 2018 - Frontiers in Psychology 9.
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  9.  24
    Gender Differences in How Family Income and Parental Education Relate to Reading Achievement in China: The Mediating Role of Parental Expectation and Parental Involvement.Xiaolin Guo, Bo Lv, Huan Zhou, Chunhui Liu, Juan Liu, Kexin Jiang & Liang Luo - 2018 - Frontiers in Psychology 9.
  10.  26
    The Relationship Between Academic Achievement and the Emotional Well-Being of Elementary School Children in China: The Moderating Role of Parent-School Communication.Bo Lv, Huan Zhou, Xiaolin Guo, Chunhui Liu, Zhaomin Liu & Liang Luo - 2016 - Frontiers in Psychology 7.
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  11.  39
    Self-Reference Emerges Earlier Than Emotion During an Implicit Self-Referential Emotion Processing Task: Event-Related Potential Evidence.Haiyan Zhou, Jialiang Guo, Xiaomeng Ma, Minghui Zhang, Liqing Liu, Lei Feng, Jie Yang, Zhijiang Wang, Gang Wang & Ning Zhong - 2017 - Frontiers in Human Neuroscience 11.
  12.  5
    Join-Completions of Partially Ordered Algebras.José Gil-Férez, Luca Spada, Constantine Tsinakis & Hongjun Zhou - 2020 - Annals of Pure and Applied Logic 171 (10):102842.
    We present a systematic study of join-extensions and join-completions of partially ordered algebras, which naturally leads to a refined and simplified treatment of fundamental results and constructions in the theory of ordered structures ranging from properties of the Dedekind–MacNeille completion to the proof of the finite embeddability property for a number of varieties of lattice-ordered algebras.
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  13.  23
    Surface Acting or Deep Acting, Who Need More Effortful? A Study on Emotional Labor Using Functional Near-Infrared Spectroscopy.Yongbiao Lu, Wenfeng Wu, Gaoxing Mei, Shouying Zhao, Haibo Zhou, Daling Li & Deng Pan - 2019 - Frontiers in Human Neuroscience 13.
  14.  22
    The Discrepancy of Parents’ Theories of Intelligence and Parental Involvement.Kexin Jiang, Juan Liu, Chunhui Liu, Xiaolin Guo, Huan Zhou, Bo Lv, Zhaomin Liu & Liang Luo - 2019 - Frontiers in Psychology 10.
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  15.  30
    Brain Activity Toward Gaming-Related Cues in Internet Gaming Disorder During an Addiction Stroop Task.Yifen Zhang, Xiao Lin, Hongli Zhou, Jiaojing Xu, Xiaoxia Du & Guangheng Dong - 2016 - Frontiers in Psychology 7.
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  16.  10
    A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks.Fei Gao, Teng Huang, Jinping Sun, Amir Hussain, Erfu Yang & Huiyu Zhou - 2019 - Complexity 2019:1-23.
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  17.  9
    Influence of Self-Relevance and Reputational Concerns on Altruistic Moral Decision Making.Youlong Zhan, Xiao Xiao, Qianbao Tan, Shangming Zhang, Yangyi Ou, Haibo Zhou, Jin Li & Yiping Zhong - 2019 - Frontiers in Psychology 10.
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  18.  8
    Path Optimization of Mobile Sink Node in Wireless Sensor Network Water Monitoring System.Fan Chao, Zhiqin He, Aiping Pang, Hongbo Zhou & Junjie Ge - 2019 - Complexity 2019:1-10.
    In the water area monitoring of the traditional wireless sensor networks, the monitoring data are mostly transmitted to the base station through multihop. However, there are many problems in multihop transmission in traditional wireless sensor networks, such as energy hole, uneven energy consumption, unreliable data transmission, and so on. Based on the high maneuverability of unmanned aerial vehicles, a mobile data collection scheme is proposed, which uses UAV as a mobile sink node in WSN water monitoring and transmits data wirelessly (...)
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  19.  2
    What Still Needs to Be Noted: Pseudo-Clefts in the Academic Discourse of Applied Linguistics.Hui Zhou & Ming Chen - 2021 - Frontiers in Psychology 12.
    Pseudo-clefts are the building blocks of coherent discourse progression and serve as a rhetorical toolkit to construct an authorial stance in the academic discourse. Despite an increasing interest in grammatical constructions in the academic discourse, researchers have not treated pseudo-clefts in much detail. This paper explores the features of pseudo-clefts in the corpus of academic discourse in the field of applied linguistics. Here, we take the textual and the interpersonal perspectives, focusing on the use of pseudo-clefts in terms of their (...)
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  20.  23
    Emotion Regulation and Complex Brain Networks: Association Between Expressive Suppression and Efficiency in the Fronto-Parietal Network and Default-Mode Network.Junhao Pan, Liying Zhan, ChuanLin Hu, Junkai Yang, Cong Wang, Li Gu, Shengqi Zhong, Yingyu Huang, Qian Wu, Xiaolin Xie, Qijin Chen, Hui Zhou, Miner Huang & Xiang Wu - 2018 - Frontiers in Human Neuroscience 12.
  21.  39
    Multiple Neural Networks Malfunction in Primary Blepharospasm: An Independent Components Analysis.Xiao-Feng Huang, Meng-Ru Zhu, Ping Shan, Chen-Hui Pei, Zhan-Hua Liang, Hui-Ling Zhou, Ming-Fei Ni, Yan-Wei Miao, Guo-Qing Xu, Bing-Wei Zhang & Ya-Yin Luo - 2017 - Frontiers in Human Neuroscience 11.
  22.  18
    Depositional Sequence Characterization Based on Seismic Variational Mode Decomposition.Fangyu Li, Bo Zhang, Rui Zhai, Huailai Zhou & Kurt J. Marfurt - 2017 - Interpretation: SEG 5 (2):SE97-SE106.
    Subtle variations in otherwise similar seismic data can be highlighted in specific spectral components. Our goal is to highlight repetitive sequence boundaries to help define the depositional environment, which in turn provides an interpretation framework. Variational mode decomposition is a novel data-driven signal decomposition method that provides several useful features compared with the commonly used time-frequency analysis. Rather than using predefined spectral bands, the VMD method adaptively decomposes a signal into an ensemble of band-limited intrinsic mode functions, each with its (...)
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  23.  18
    The Relation Between Maternal Work Hours and Primary School Students’ Affect in China: The Role of the Frequency of Mother–Child Communication and Maternal Education.Huan Zhou, Bo Lv, Xiaolin Guo, Chunhui Liu, Bing Qi, Weiping Hu, Zhaomin Liu & Liang Luo - 2017 - Frontiers in Psychology 8.
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  24.  9
    Value of Nonstationary Wavelet Spectral Balancing in Mapping a Faulted Fluvial System, Bohai Gulf, China.Huailai Zhou, Yuanjun Wang, Tengfei Lin, Fangyu Li & Kurt J. Marfurt - 2015 - Interpretation: SEG 3 (3):SS1-SS13.
    Seismic data with enhanced resolution allow interpreters to effectively delineate and interpret architectural components of stratigraphically thin geologic features. We used a recently developed time-frequency domain deconvolution method to spectrally balance nonstationary seismic data. The method was based on polynomial fitting of seismic wavelet magnitude spectra. The deconvolution increased the spectral bandwidth but did not amplify random noise. We compared our new spectral modeling algorithm with existing time-variant spectral-whitening and inverse [Formula: see text]-filtering algorithms using a 3D offshore survey acquired (...)
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  25.  2
    The Impact of Job Burnout on Employees’ Safety Behavior Against the COVID-19 Pandemic: The Mediating Role of Psychological Contract.Hui Liu, Yuexin Du & Huiwen Zhou - 2022 - Frontiers in Psychology 13.
    Employee safety behavior is critical for occupational health in work environments threatened by the COVID-19 pandemic. Meanwhile, the widespread and increasingly serious job burnout of employees is a complex and difficult problem for enterprises to handle during any epidemic. Therefore, it is helpful to identify and discuss job burnout and other main psychological factors that affect safety behavior to find appropriate solutions. Using the PLS-SEM method, the study explored the relationship between job burnout and safety behavior against the epidemic, as (...)
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  26.  17
    Generalized Bosbach and Riečan States on Nucleus-Based-Glivenko Residuated Lattices.Bin Zhao & Hongjun Zhou - 2013 - Archive for Mathematical Logic 52 (7-8):689-706.
    Bosbach and Riečan states on residuated lattices both are generalizations of probability measures on Boolean algebras. Just from the observation that both of them can be defined by using the canonical structure of the standard MV-algebra on the unit interval [0, 1], generalized Riečan states and two types of generalized Bosbach states on residuated lattices were recently introduced by Georgescu and Mureşan through replacing the standard MV-algebra with arbitrary residuated lattices as codomains. In the present paper, the Glivenko theorem is (...)
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  27. Borderline Pathological Celebrity Worship and Impulsive Buying Intent: Mediating and Moderating Roles of Empathy and Gender.Outong Chen, Xiaojing Zhao, Dongxing Ding, Yifan Zhang, Hongbo Zhou & Ranran Liu - 2022 - Frontiers in Psychology 13.
    The present study constructed a moderated mediation model to examine whether borderline pathological celebrity worship may be associated with higher levels of impulsive buying intent. The mediating role of empathy and the moderating role of gender were also examined. A total of 1,319 participants recruited from a college through the campus network. The results indicated that borderline pathological celebrity worship could positively predict individuals’ impulsive buying intent; the predictive effect of borderline pathological celebrity worship on impulsive buying intent could be (...)
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  28. 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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  29. 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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  30. Predictive Validity of Interviewer Post-Interview Notes on Candidates’ Job Outcomes: Evidence Using Text Data From a Leading Chinese IT Company.Shanshi Liu, Yuanzheng Chang, Jianwu Jiang, Haigang Ma & Huaikang Zhou - 2021 - Frontiers in Psychology 11.
    Despite the popularity of the employment interview in the employee selection literature and organizational talent selection process, few have examined the comments interviewers give after each interview. This study investigated the predictability of the match between interviewer post-interview notes and radar charts from job analysis on the candidate’s later career performance using text mining techniques and data from one of the largest internet-based technology companies in China. A large sample of 7,650 interview candidates who passed the interviews and joined the (...)
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  31. Cortical Coding of Extended Coloured Figures.R. von der Heydt, H. Zhou & H. Friedman - 1996 - In Enrique Villanueva (ed.), Perception. Ridgeview. pp. 16-16.
     
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  32. Like/Dislike Prediction for Sport Shoes With Electroencephalography: An Application of Neuromarketing.Li Zeng, Mengsi Lin, Keyang Xiao, Jigan Wang & Hui Zhou - 2022 - Frontiers in Human Neuroscience 15.
    Neuromarketing is an emerging research field for prospective businesses on consumer’s preference. Consumer’s preference prediction based on electroencephalography can reliably predict likes or dislikes of a product. However, the current EEG prediction and classification accuracy have yet to reach ideal level. In addition, it is still unclear how different brain region information and different features such as power spectral density, brain asymmetry, differential entropy, and Hjorth parameters affect the prediction accuracy. Our study shows that by taking footwear products as an (...)
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  33. China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model.Baojian Zhang, Pengli Li, Huaguo Zhou & Xiaohang Yue - 2021 - Complexity 2021:1-12.
    To protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles, hybrid vehicles, and electric vehicles are included in the research. Then, based on the aging chain and coflow theory of SDs, we construct a dynamic matching model of the auto industry upgrade process and its energy consumption attributes. The simulation results of China’s auto industry show that the upgrading of the auto industry (...)
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  34. Sentence Context Differentially Modulates Contributions of Fundamental Frequency Contours to Word Recognition in Chinese-Speaking Children With and Without Dyslexia.Linjun Zhang, Yu Li, Hong Zhou, Yang Zhang & Hua Shu - 2020 - Frontiers in Psychology 11.
    Previous work has shown that children with dyslexia are impaired in speech recognition in adverse listening conditions. Our study further examined how semantic context and fundamental frequency contours contribute to word recognition against interfering speech in dyslexic and non-dyslexic children. Thirty-two children with dyslexia and 35 chronological-age-matched control children were tested on the recognition of words in normal sentences versus wordlist sentences with natural versus flat F0 contours against single-talker interference. The dyslexic children had overall poorer recognition performance than non-dyslexic (...)
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  35. A Nonintrusive Load Monitoring Method for Microgrid EMS Using Bi-LSTM Algorithm.Dongguo Zhou, Yangjie Wu & Hong Zhou - 2021 - Complexity 2021:1-11.
    Nonintrusive load monitoring in smart microgrids aims to obtain the energy consumption of individual appliances from the aggregated energy data, which is generally confronted with the error identification of the load type for energy disaggregation in microgrid energy management system. This paper proposes a classification strategy for the nonintrusive load identification scheme based on the bilateral long-term and short-term memory network algorithm. The sliding window algorithm is used to extract the detected load event features and obtain the load features of (...)
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  36. Embryonic Movement Stimulates Joint Formation and Development: Implications in Arthrogryposis Multiplex Congenita.Haodong Zhou - 2021 - Bioessays 43 (5):2000319.
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  37. Effects of Working Memory Capacity and Tasks in Processing L2 Complex Sentence: Evidence From Chinese-English Bilinguals.Huixia Zhou, Sonja Rossi & Baoguo Chen - 2017 - Frontiers in Psychology 8.
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  38. Fa Lü de Dao de Zhi Wei: Dewojin Fa Lun Li Si Xiang Yan Jiu.Hui Zhou - 2011 - Hunan Shi Fan da Xue Chu Ban She.
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  39. Kai Tuo Yu Chuang Jian: Tao Xingzhi Yu Zhongguo Xian Dai Wen Hua.Hongyu Zhou - 2010 - Shandong Jiao Yu Chu Ban She.
    本书共分为10章, 内容包括:中西文化撞击与交融的产物, 文化冲突中的抉择, 输入新知与批判传统, 现代教育事业的开创, 现代教育理论的建构等.
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  40. Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology.Haihan Zhou - 2021 - Complexity 2021:1-10.
    In this paper, to solve the problem of slow design of arts and crafts and to improve design efficiency and aesthetics, the existing big data and 3D technology are used to conduct an in-depth analysis of the optimization of the rapid design system of arts and crafts machine salt baking. In the system requirement analysis, the functional modules of this system are identified as nine functional modules such as design terminology management system and external information import function according to the (...)
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  41. Research on Fast Pedestrian Detection Algorithm Based on Autoencoding Neural Network and AdaBoost.Hongzhi Zhou & Gan Yu - 2021 - Complexity 2021:1-17.
    In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the sample weight update (...)
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  42. Realization of Self-Adaptive Higher Teaching Management Based Upon Expression and Speech Multimodal Emotion Recognition.Huihui Zhou & Zheng Liu - 2022 - Frontiers in Psychology 13.
    In the process of communication between people, everyone will have emotions, and different emotions will have different effects on communication. With the help of external performance information accompanied by emotional expression, such as emotional speech signals or facial expressions, people can easily communicate with each other and understand each other. Emotion recognition is an important network of affective computers and research centers for signal processing, pattern detection, artificial intelligence, and human-computer interaction. Emotions convey important information in human communication and communication. (...)
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  43. Tao Xingzhi Sheng Huo Jiao Yu Xue Shuo =.Hongyu Zhou - 2011 - Hubei Jiao Yu Chu Ban She.
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  44.  29
    A New Metastable Precipitate Phase in Mg–Gd–Y–Zr Alloy.H. Zhou, W. Z. Xu, W. W. Jian, G. M. Cheng, X. L. Ma, W. Guo, S. N. Mathaudhu, Q. D. Wang & Y. T. Zhu - 2014 - Philosophical Magazine 94 (21):2403-2409.
  45.  28
    Alloying Effect on Grain-Size Dependent Deformation Twinning in Nanocrystalline Cu–Zn Alloys.X. L. Ma, W. Z. Xu, H. Zhou, J. A. Moering, J. Narayan & Y. T. Zhu - 2015 - Philosophical Magazine 95 (3):301-310.
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  46.  13
    Calculation and Improvement of Complex Mechanical Properties of the Mega Arch Dam Under Multiple Loads Based on Finite Element Methods.Chenghua Fu, Hongbo Zhou & Yanfang Pan - 2018 - Complexity 2018:1-12.
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  47.  11
    Passenger Flow Forecast for Customized Bus Based on Time Series Fuzzy Clustering Algorithm.Ming Li, Linlin Wang, Jingfeng Yang, Zhenkun Zhang, Nanfeng Zhang, Yifei Xiang & Handong Zhou - 2019 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 20 (1):42-60.
    Customized bus services are conducive to improving urban traffic and environment, and have attracted widespread attention. However, the problems encountered in the new customized bus mode include the large difference between the basis of customized bus passenger flow data analysis and the basis of the traditional bus passenger flow data analysis, and the difficulty in different vehicle scheduling caused by the combination of traditional and customized bus modes. We propose a customized bus passenger flow analysis algorithm and multi-destination customized bus (...)
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  48.  7
    Multiple Morphological Constraints-Based Complex Gland Segmentation in Colorectal Cancer Pathology Image Analysis.Kun Zhang, JunHong Fu, Liang Hua, Peijian Zhang, Yeqin Shao, Sheng Xu, Huiyu Zhou, Li Chen & Jing Wang - 2020 - Complexity 2020:1-16.
    Histological assessment of glands is one of the major concerns in colon cancer grading. Considering that poorly differentiated colorectal glands cannot be accurately segmented, we propose an approach for segmentation of glands in colon cancer images, based on the characteristics of lumens and rough gland boundaries. First, we use a U-net for stain separation to obtain H-stain, E-stain, and background stain intensity maps. Subsequently, epithelial nucleus is identified on the histopathology images, and the lumen segmentation is performed on the background (...)
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  49.  5
    Revisiting the L-Dopa Response as a Predictor of Motor Outcomes After Deep Brain Stimulation in Parkinson’s Disease.Zhengyu Lin, Xiaoxiao Zhang, Linbin Wang, Yingying Zhang, Haiyan Zhou, Qingfang Sun, Bomin Sun, Peng Huang & Dianyou Li - 2021 - Frontiers in Human Neuroscience 15.
    Objective: To investigate the correlation between preoperative response to the L-dopa challenge test and efficacy of deep brain stimulation on motor function in Parkinson’s disease.Methods: We retrospectively reviewed the data of 38 patients with idiopathic PD who underwent DBS surgery with a median follow-up duration of 7 months. Twenty underwent bilateral globus pallidus interna DBS, and 18 underwent bilateral subthalamic nucleus DBS. The Movement Disorder Society Unified Parkinson Disease Rating Scale-Motor Part was assessed before surgery and at the last follow-up (...)
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  50.  5
    A Brief Overview of Optimal Robust Control Strategies for a Benchmark Power System with Different Cyberphysical Attacks.Bo Hu, Hao Wang, Yan Zhao, Hang Zhou, Mingkun Jiang & Mofan Wei - 2021 - Complexity 2021:1-10.
    Security issue against different attacks is the core topic of cyberphysical systems. In this paper, optimal control theory, reinforcement learning, and neural networks are integrated to provide a brief overview of optimal robust control strategies for a benchmark power system. First, the benchmark power system models with actuator and sensor attacks are considered. Second, we investigate the optimal control issue for the nominal system and review the state-of-the-art RL methods along with the NN implementation. Third, we propose several robust control (...)
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