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  1. Jacques Lacan’s Registers of the Psychoanalytic Field, Applied Using Geometric Data Analysis to Edgar Allan Poe’s “The Purloined Letter”.Fionn Murtagh & Giuseppe Iurato - manuscript
    In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more Comprehensive investigation, we develop an approach for revealing, that is, uncovering, Lacanian (...)
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  2. Explaining Experience In Nature: The Foundations Of Logic And Apprehension.Steven Ericsson-Zenith - forthcoming - Institute for Advanced Science & Engineering.
    At its core this book is concerned with logic and computation with respect to the mathematical characterization of sentient biophysical structure and its behavior. -/- Three related theories are presented: The first of these provides an explanation of how sentient individuals come to be in the world. The second describes how these individuals operate. And the third proposes a method for reasoning about the behavior of individuals in groups. -/- These theories are based upon a new explanation of experience in (...)
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  3. Robots as Powerful Allies for the Study of Embodied Cognition From the Bottom Up.Matej Hoffmann & Rolf Pfeifer - forthcoming - In Albert Newen, Leon De Bruin & Shaun Gallagher (eds.), The Oxford Handbook of 4E Cognition. Oxford University Press.
    A large body of compelling evidence has been accumulated demonstrating that embodiment – the agent’s physical setup, including its shape, materials, sensors and actuators – is constitutive for any form of cognition and as a consequence, models of cognition need to be embodied. In contrast to methods from empirical sciences to study cognition, robots can be freely manipulated and virtually all key variables of their embodiment and control programs can be systematically varied. As such, they provide an extremely powerful tool (...)
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  4. Ranking Theory.Gabriele Kern-Isberner, Niels Skovgaard-Olsen & Wolfgang Spohn - forthcoming - Knauff, M. & Spohn, W. (Eds). The Handbook of Rationality. MIT Press.
    Ranking theory is one of the salient formal representations of doxastic states. It differs from others in being able to represent belief in a proposition (= taking it to be true), to also represent degrees of belief (i.e. beliefs as more or less firm), and thus to generally account for the dynamics of these beliefs. It does so on the basis of fundamental and compelling rationality postulates and is hence one way of explicating the rational structure of doxastic states. Thereby (...)
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  5. Ethical Aspects of Multi-Stakeholder Recommendation Systems.Silvia Milano, Mariarosaria Taddeo & Luciano Floridi - forthcoming - The Information Society.
    This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Following the most common approach in the literature, we assume a consequentialist framework to introduce the main concepts of multistakeholder recommendation. We then consider three research questions: who are the stakeholders in a RS? How are their interests taken into account when formulating a recommendation? And, what is the scientific paradigm underlying RSs? Our main finding is that multistakeholder RSs (MRSs) are designed and theorised, methodologically, according to neoclassical welfare (...)
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  6. Simulation and Controller Design of Thermal Spraying Processes.P. Nylén & U. Snis - forthcoming - Proceedings of Swedish Ai Society, Linköping.
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  7. Using Simulation in the Assessment of Voting Procedures: An Epistemic Instrumental Approach.Marc Jiménez Rolland, Julio César Macías-Ponce & Luis Fernando Martínez-Álvarez - forthcoming - Simulation: Transactions of the Society for Modeling and Simulation International:1-8.
    In this paper, we argue that computer simulations can provide valuable insights into the performance of voting methods on different collective decision problems. This could improve institutional design, even when there is no general theoretical result to support the optimality of a voting method. To support our claim, we first describe a decision problem that has not received much theoretical attention in the literature. We outline different voting methods to address that collective decision problem. Under certain criteria of assessment akin (...)
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  8. Detection and Classification of Gender-Type Using Convolution Neural Network.Husam R. Almadhoun - 2021 - International Journal of Academic Engineering Research (IJAER) 4 (12):15-20.
    Deep learning has a vital role in computer vision to discover things. Deep learning techniques, especially convolutional neural networks, are being exploited in identifying and extracting relevant features of a specific set of images. In this research we suggested that it could help in detecting the gender-type of individuals and classifying them using convolutional neural networks, as it achieved superior predictive performance in classifying individuals according to gender, and the experimental results showed that the proposed system works accurately and efficiently, (...)
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  9. Classification of Alzheimer’s Disease Using Traditional Classifiers with Pre-Trained CNN.Husam R. Almadhoun & Samy S. Abu-Naser - 2021 - International Journal of Academic Health and Medical Research (IJAHMR) 5 (4):17-21.
    Abstract: Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear gradually and end with severe brain damage. People with Alzheimer's disease lose the abilities of knowledge, memory, language and learning. Recently, the classification and diagnosis of diseases using deep learning has emerged as an active topic covering a wide range of applications. This paper proposes examining abnormalities in brain structures and detecting cases of Alzheimer's disease especially in the early stages, using features derived from medical (...)
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  10. An Ontology-Based Approach for Semantic Interoperability in Air Traffic Information Management航空交通管理における意味的な相互運用性のためのオントロジーの構築と応用.Shusaku Egami, Xiaodong Lu, Tadashi Koga & Yasuto Sumiya - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-F_1-12.
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  11. Searching for Distress of Similar Situation From CQA ContentCQAコンテンツからの状況が類似する悩みの検索.Tomoya Hashiguchi, Takehiro Yamamoto, Sumio Fujita & Hiroaki Ohshima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-B_1-13.
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  12. Recommendation Algorithms, a Neglected Opportunity for Public Health.Lê Nguyên Hoang, Louis Faucon & El-Mahdi El-Mhamdi - 2021 - Revue Médecine et Philosophie 4 (2):16-24.
    The public discussion on artificial intelligence for public health often revolves around future applications like drug discovery or personalized medicine. But already deployed artificial intelligence for content recommendation, especially on social networks, arguably plays a far greater role. After all, such algorithms are used on a daily basis by billions of users worldwide. In this paper, we argue that, left unchecked, this enormous influence of recommendation algorithms poses serious risks for public health, e.g., in terms of misinformation and mental health. (...)
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  13. Time-Sequential Variational Conditional Auto-Encoders for Recommendation行動時刻を考慮した条件付き変分オートエンコーダによる推薦システム.Jun Hozumi, Yusuke Iwasawa & Yutaka Matsuo - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):C-KB7_1-10.
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  14. Fast Block Coordinate Descent for Sparse Group LassoSparse Group Lassoのための高速なBlock Coordinate Descent.Yasutoshi Ida, Yasuhiro Fujiwara & Hisashi Kashima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):A-JB1_1-11.
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  15. Prediction of Online Purchasing Behavior of Cameras UsingWeb Search Logsウェブ検索ログからのカメラのオンライン購買行動予測.Yusei Nakata, Naoki Muramoto, Takehiro Yamamoto, Sumio Fujita & Hiroaki Ohshima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-C_1-10.
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  16. Non-Stationary Stochastic Multi-Armed Bandit Problems with External Information on Stationarity時間変化に関する外部情報を考慮した非定常多腕バンディット問題.Hiroyuki Namba - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):D-K84_1-11.
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  17. Morality-Based Analysis of Viewer’s Comments on Internet TV News Programネットテレビのニュース番組に投稿される視聴者コメントの道徳性に基づく分析.Tomosato Nishi, Yuki Ogawa, Fumiaki Taka, Masanori Takano, Soichiro Morishita & Hiromitsu Hattori - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-E_1-9.
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  18. Effects of Incomplete Utterance on Conversational Engagement in a Multiparty Conversation多人数会話を構成するロボットの言葉足らずな発話が人の会話への参加態度に及ぼす影響.Yusaku Nishiwaki, Naoki Ohshima & Michio Okada - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):B-K44_1-12.
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  19. Fast and Accurate Driver Action Recognition with Multi-Task Learning of Driver Pose and Actionドライバ姿勢と動作のマルチタスク学習による高速かつ高精度なドライバ動作認識.Kenta Nishiyuki, Tadashi Hyuga, Hiroshi Tasaki, Koichi Kinoshita, Yuki Hasegawa, Takayoshi Yamashita & Hironobu Fujiyoshi - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):A-K93_1-10.
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  20. Semi-Autonomous Telepresence Robot Architecture for Adaptively Switching Between Remote and Autonomous Operation遠隔操作と自律操作を適応的に切り替える半自律テレプレゼンスロボットアーキテクチャ.Kohei Okuoka, Masahiko Osawa & Michita Imai - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):D-K47_1-12.
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  21. Weasel Finder: Highlighting Ambiguous Sentences for Promoting Critical Web BrowsingWeasel Finder:文章表現の曖昧さ指摘による批判的なウェブ情報探索の促進.Fumiaki Saito & Yusuke Yamamoto - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-H_1-13.
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  22. An Analytics on Consumers’ Behavior of Buying Olive Oil and Its Application to Local Physical Shop広域の消費者購買データに基づくオリーブオイル購買の傾向分析と地域実店舗への適用.Asuka Sakai, Hiroaki Maruhashi, Yukinobu Hamuro, Munehiko Sasajima, Naoki Katoh & Takeaki Uno - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-I_1-12.
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  23. An Expert System for Knee Problems Diagnosis.Lamis F. Samhan, Amjad H. Alfarra & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (4):59-66.
    Abstract: In fact, people get knee problems due to something such as sports, or fall. They usually have difficulty moving to the doctor. In this paper an expert system was designed to help users to correctly diagnose knee problems (Fractured in knee, torn ligament, Bursitis, Chondromalacia patellae, Torn cartilage, Rheumatoid arthritis and Rheumatic fever, Osteoarthritis, Baker's cyst, Osgood-Schlatter disease) with some information about the disease and self-care. CLIPS expert system language was used to design and implement this expert system.
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  24. A Dialogue SystemMaking Humor by Pseudo Mishearing of a Part of Users’ Queries Based on Examples用例に基づく疑似的な聞き間違いによりユーモア表現を生成する対話システム.Yosuke Seki - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (2):C-KA3_1-10.
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  25. Policy Gradients with Memory-Augmented CriticPolicy Gradients with Memory-Augmented Critic.Takuma Seno & Michita Imai - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):B-K71_1-8.
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  26. Student-T Variational Autoencoder for Robust Multivariate Density EstimationStudent-T VAEによるロバスト確率密度推定.Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi & Hisashi Kashima - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):A-KA4_1-9.
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  27. Context-Aware Music Recommender System Based on Implicit Feedback.Yasufumi Takama, Jing-Cheng Zhang & Hiroki Shibata - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-D_1-10.
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  28. Extraction of Important Pages of Shareholder Convocation Notices Using Deep Learning by Automatic Generation of Training Data学習データの自動生成による深層学習を用いた株主招集通知の重要ページ抽出.Kaito Takano, Hiroyuki Sakai & Kei Nakagawa - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-G_1-19.
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  29. Contribution Analysis of Video Advertising with Topic Model and Ensemble Learningアンサンブル学習とLDAの統合による動画広告効果の要因分析.Eiji Toyosawa Sakihama, Yasukazu Kawasaki & Eiji Motohashi - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (3):B-K91_1-8.
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  30. An Expert System for Ankle Problems.Basel Y. Elhabil & Samy S. Abu-Naser - 2021 - International Journal of Engineering and Information Systems (IJEAIS) 5 (4):57-66.
    Abstract— Anatomy of the anterior compartment includes the tibia and the fibula. It also includes the tibialis anterior tendon, the extensor hallucis longus tendon and the extensor digitorum longus tendons. The anterior tibial artery and the deep peroneal nerve and finally the superior and inferior extensor retinaculum. In this paper an expert system was designed to help users to correctly diagnose ankle problems. There are many structures present at the anterior aspect of the ankle; these structures are often susceptible to (...)
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  31. An Expert System for Tooth Problems.Basel Y. Elhabil & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (4):83-92.
    Abstract— Everyone knows that straight teeth give you a beautiful smile. Did you know that straighter teeth can also affect your overall health? Left untreated crooked teeth can lead to periodontal disease and create abnormal amounts of stress on teeth and jaws which can lead to premature wear the effects of crooked teeth can worsen. Over time and may adversely affect your overall health common types of misalignment include crowding spacing deep bite. Open byte crossed might edge to edge bite (...)
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  32. Aspects Classification on Restaurant Reviews with Pseudo Corpus擬似コーパスを用いた飲食店レビューの観点の自動分類.Ryosuke Yamanishi, Hiroko Fujioka & Yoko Nishihara - 2021 - Transactions of the Japanese Society for Artificial Intelligence 36 (1):WI2-A_1-8.
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  33. Type of Grapefruit Classification Using Deep Learning.Mohammed M. Abu-Saqer, Samy S. Abu-Naser & Mohammed O. Al-Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (1):1-5.
    Fruit has been recognized as a good source of vitamins and minerals, and for their role in preventing vitamin C and vitamin A deficiencies. People who eat fruit as part of an overall healthy diet generally have a reduced risk of chronic diseases. Fruit are important sources of many nutrients, including potassium, fiber, vitamin C and folate (folic acid). One of important types of fruit is Grapefruit . Grapefruit is a tropical citrus fruit known its sweet and somewhat sour taste. (...)
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  34. 全球研究报告——东南亚.Jonathan Adams, David Pendlebury, Gordon Rogers & Martin Szomszor - 2020 - 科学观察 15 (3):54-65.
    Jonathan Adams, David Pendlebury, Gordon Rogers, Martin Szomszor. 全球研究报告——东南亚[J]. 科学观察, 2020, 15(3): 54-65.
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  35. Modeling Cognitive Development of the Balance Scale Task Using ANN.Yara Essam Al-Atrash, Ahmed Tariq Wishah, Tariq Hosni Abul-Omreen & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):74-81.
    In this paper we describe a Artificial Neural Network model of children's development on the balance scale task. In balance scale experiments, the child is asked to predict the outcome of placing certain numbers of equal weights at various distances to the left or right of a fulcrum. Both stage progressions and information salience effects have been found with children on this task. Artificial Neural Network provided better fits to these human data than did previous models, whether rule-based or connectionist. (...)
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  36. Neural Network Approach to Predict Forest Fires Using Meteorological Data.Mutasim Mahmoud Al-Kahlout, Ahmed Mahmoud Abu Ghaly, Donia Zaher Mudawah & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (9):68-72.
    Forest fires are a major environmental issue, creating economical and ecological damage while endangering human lives. Fast detection is a key element for controlling such phenomenon. To achieve this, one alternative is to use automatic tools based on local sensors, such as provided by meteorological stations. In effect, meteorological conditions (e.g. temperature, wind) are known to influence forest fires and several fire indexes, such as the forest Fire Weather Index (FWI), use such data. In this work, we explore a Just (...)
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  37. Artificial Neural Network for Predicting Car Performance Using JNN.Awni Ahmed Al-Mobayed, Youssef Mahmoud Al-Madhoun, Mohammed Nasser Al-Shuwaikh & Samy S. Abu-Naser - 2020 - International Journal of Engineering and Information Systems (IJEAIS) 4 (9):139-145.
    In this paper an Artificial Neural Network (ANN) model was used to help cars dealers recognize the many characteristics of cars, including manufacturers, their location and classification of cars according to several categories including: Buying, Maint, Doors, Persons, Lug_boot, Safety, and Overall. ANN was used in forecasting car acceptability. The results showed that ANN model was able to predict the car acceptability with 99.12 %. The factor of Safety has the most influence on car acceptability evaluation. Comparative study method is (...)
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  38. Handwritten Signature Verification Using Deep Learning.Eman Alajrami, Belal A. M. Ashqar, Bassem S. Abu-Nasser, Ahmed J. Khalil, Musleh M. Musleh, Alaa M. Barhoom & Samy S. Abu-Naser - 2020 - International Journal of Academic Multidisciplinary Research (IJAMR) 3 (12):39-44.
    Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic. Static(off-line) verification is the process of verifying an electronic or document signature after it has been made, while dynamic(on-line) verification takes place as a person creates his/her signature on a digital tablet or a similar device. Offline signature verification is not efficient and slow for a (...)
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  39. Analyzing Types of Cherry Using Deep Learning.Izzeddin A. Alshawwa, Hosni Qasim El-Mashharawi, Mohammed Elkahlout, Mohammed O. Al-Shawwa & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (1):1-5.
    A cherry is the fruit of many plants of the genus Prunus, and is a fleshy drupe (stone fruit), Michigan's Northwest Lower Peninsula is the largest producer of tart cherries in the United States. In fact, grow 75% of the country's variety of mighty Montmorency cherries. We use these Ruby Red Morsels of Joy in over 200 cherry products like Salsas, Chocolate Covered Cherries, Cherry Nut Mixes, and much more. Cherry fruits are rich in vitamins and minerals, and it is (...)
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  40. Computational Logic. Vol. 1: Classical Deductive Computing with Classical Logic. 2nd Ed.Luis M. Augusto - 2020 - London: College Publications.
    This is the 2nd edition of Computational logic. Vol. 1: Classical deductive computing with classical logic. This edition has a wholly new chapter on Datalog, a hard nut to crack from the viewpoint of semantics when negation is included.
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  41. Cryptographic Methods with a Pli Cachete: Towards the Computational Assurance of Integrity.Thatcher Collins - 2020 - In Gerhard R. Joubert Ian Foster (ed.), Advances in Parallel Computing. Amsterdam: IOS Press. pp. 10.
    Unreproducibility stemming from a loss of data integrity can be prevented with hash functions, secure sketches, and Benford's Law when combined with the historical practice of a Pli Cacheté where scientific discoveries were archived with a 3rd party to later prove the date of discovery. Including the distinct systems of preregistation and data provenance tracking becomes the starting point for the creation of a complete ontology of scientific documentation. The ultimate goals in such a system--ideally mandated--would rule out several forms (...)
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  42. Artificial Intelligence as Solution in Facing the Age of Digital Disruption 4.0.David David - 2020 - JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) 1 (1):107-116.
    Artificial Intelligence is part of the Industrial Revolution 4.0 and already exists today. This shows that the future has come and everyone must prepare for the implementation of Artificial Intelligence to face the transformation of the digital era, especially the world of education. The community service workshop was attended by 66 participants, namely students, teachers, and structural officials of SMK Negeri 2 Singkawang. The workshop was held using demonstration methods, lectures, discussions and question and answer. This workshop provides information to (...)
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  43. Peach Type Classification Using Deep Learning.Mohammed I. El-Kahlout & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):35-40.
    Abstract: Peach, (Prunus persica), fruit tree of the rose family (Rosaceae), grown throughout the warmer temperate regions of both the Northern and Southern hemispheres. Peaches are widely eaten fresh and are also baked in pies and cobblers; canned peaches are a staple commodity in many regions. Yellow-fleshed varieties are especially rich in vitamin A. Peach trees are relatively short-lived as compared with some other fruit trees. In some regions orchards are replanted after 8 to 10 years, while in others trees (...)
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  44. Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  45. Grape Type Classification Using Deep Learning.Hosni Qasim El-Mashharawi, Samy S. Abu-Naser, Izzeddin A. Alshawwa & Mohammed Elkahlout - 2020 - International Journal of Academic Engineering Research (IJAER) 3 (12):41-45.
    Abstract: A grape is a fruit, botanically a berry, of the deciduous woody vines of the flowering plant genus Vitis. it can be eaten fresh or they can be used for making jam, grape juice, jelly, grape seed extract, raisins, and grape seed oil. Grapes are a nonclimacteric type of fruit, generally occurring in clusters. Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. (...)
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  46. Artificial Neural Network for Predicting Workplace Absenteeism.Raghad Adnan Abu Hassanein, Saja Ahmed Al-Qassas, Fatima Naji Abu Tir & Samy S. Abu-Naser - 2020 - International Journal of Academic Engineering Research (IJAER) 4 (9):62-67.
    Associations can grow, succeed, and sustain if their employees are committed. The main assets of an association are those employees who are giving it a required number of hours per month, in other words, those employees who are punctual towards their attendance. Absenteeism from work is a multibillion-dollar problem, and it costs money and decreases revenue. At the time of hiring an employee, Associations do not have an objective mechanism to predict whether an employee will be punctual towards attendance or (...)
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  47. Evolving Efficient Classification Patterns in Lymphography Using EasyNN.Ahmed Suhail Jaber, Ahmed Khalil Humid, Mohammed Ahmed Hussein & Samy S. Abu-Naser - 2020 - International Journal of Academic Information Systems Research (IJAISR) 4 (9):66-73.
    A neural network exploits the non-linearity of a problem to define a set of desired inputs. Neural networks are important in realizing a better way for classification in machine learning and finds application in various fields such as data mining, pattern recognition, forensics etc. In this paper, our focus is to classify of patient records obtained from clinical data. Feature selection is a supervised method that attempts to select a subset of the predictor features based on the information gain. The (...)
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  48. Cultural Evolution of Sustainable Behaviors: Pro-Environmental Tipping Points in an Agent-Based Model.Roope Oskari Kaaronen & Nikita Strelkovskii - 2020 - One Earth 2 (1):85-97.
    To reach sustainability transitions, we must learn to leverage social systems into tipping points, where societies exhibit positive-feedback loops in the adoption of sustainable behavioral and cultural traits. However, much less is known about the most efficient ways to reach such transitions or how self-reinforcing systemic transformations might be instigated through policy. We employ an agent-based model to study the emergence of social tipping points through various feedback loops that have been previously identified to constitute an ecological approach to human (...)
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  49. ANN for Predicting Mobile Phone Price Range.Fatthy Khillha & Nassar Shawwa - 2020 - International Journal of Academic Information Systems Research (IJAISR) 3 (2):1-6.
    In this paper an Artificial Neural Network (ANN) model, was developed and tested for predicting the price range of a mobile phone. We used a dataset that contains mobile phones information, and there was a number of factors that influence the classification of mobile phone price. Factors as battery power, CPU clock speed, has dual sim support or not, Front Camera mega pixels, has 4G or not, has Wi-Fi or not, etc…. 20 attributes were used as input variables for the (...)
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  50. Open Data for Crime and Place Research: A Practical Guide in R.Samuel Langton & Reka Solymosi - 2020 - Leeds, UK: University of Leeds.
    Access to data in crime and place research has traditionally been reserved for those who have the means to collect fresh data themselves, pay for access, or obtain data through formal data sharing agreements. Even when access is granted, the usage of these data often comes with conditions that circumscribe how the data can be used through licensing or policy (Kitchin, 2014). Even the public dissemination of findings which emerge from analysis might be subject to restrictions. This can lead to (...)
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