Students’ Civic Consciousness in the Framework of Socially Oriented Project-Based Learning by M. V. Pevnaya, L. N. Boronina, E. I. Pochatkova

Subjects: “…project-based learning…”
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Deep Reinforcement Learning for Selection of Dispatch Rules for Scheduling of Production Systems by Kosmas Alexopoulos, Panagiotis Mavrothalassitis, Emmanouil Bakopoulos, Nikolaos Nikolakis, Dimitris Mourtzis

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Angus: efficient active learning strategies for provenance based intrusion detection by Lin Wu, Yulai Xie, Jin Li, Dan Feng, Jinyuan Liang, Yafeng Wu

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Observing the use of technology for students' independent work on online learning assignments by Ricka Yusra Weni, Endang Mulyatiningsih, Nixigo Sasvito, Zaid Zaid

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Making Good Decisions: Television, Learning, and the Cognitive Development of Young Children by David C. Diehl, Stephanie C. Toelle

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Expression‐based machine learning models for predicting plant tissue identity by Sourabh Palande, Jeremy Arsenault, Patricia Basurto‐Lozada, Andrew Bleich, Brianna N. I. Brown, Sophia F. Buysse, Noelle A. Connors, Sikta Das Adhikari, Kara C. Dobson, Francisco Xavier Guerra‐Castillo, Maria F. Guerrero‐Carrillo, Sophia Harlow, Héctor Herrera‐Orozco, Asia T. Hightower, Paulo Izquierdo, MacKenzie Jacobs, Nicholas A. Johnson, Wendy Leuenberger, Alessandro Lopez‐Hernandez, Alicia Luckie‐Duque, Camila Martínez‐Avila, Eddy J. Mendoza‐Galindo, David Cruz Plancarte, Jenny M. Schuster, Harry Shomer, Sidney C. Sitar, Anne K. Steensma, Joanne Elise Thomson, Damián Villaseñor‐Amador, Robin Waterman, Brandon M. Webster, Madison Whyte, Sofía Zorilla‐Azcué, Beronda L. Montgomery, Aman Y. Husbands, Arjun Krishnan, Sarah Percival, Elizabeth Munch, Robert VanBuren, Daniel H. Chitwood, Alejandra Rougon‐Cardoso

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Review: the application of deep reinforcement learning to quantitative trading in financial market by XU Bo, HE Yijun, WEN Jiancheng, LI Xiangxia

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Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection by Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim

Subjects: “…Reinforcement learning…”
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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

“…Some machine learning algorithms expect the input variables and the output variables to be numeric. …”
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Automated Prognostics and Diagnostics of Railway Tram Noises Using Machine Learning by Junhui Huang, Hao Liu, Wenyan Xi, Sakdirat Kaewunruen

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First-principles and machine-learning approaches for interpreting and predicting the properties of MXenes by José D. Gouveia, Tiago L. P. Galvão, Kais Iben Nassar, José R. B. Gomes

“…This review highlights computational studies using density functional theory and machine-learning approaches to explore their structure (stacking, functionalization, doping), properties (electronic, mechanical, magnetic), and application potential. …”
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Malware Detection in Self-Driving Vehicles Using Machine Learning Algorithms by Seunghyun Park, Jin-Young Choi

“…In this study, we propose a machine learning-based data analysis method to accurately detect abnormal behaviors due to malware in large-scale network traffic in real time. …”
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Crochet increases attention through a requiring motor skill learning by Davide Rossi Sebastiano, Cristina Muscio, Dunja Duran, Deborah Bonfoco, Sara Dotta, Paola Anversa, Elisa Pellencin, Pietro Tiraboschi, Elisa Visani

“…Finally, we discuss the hypothesis that these results could be the reinforcement of connections between motor and attentional networks promoted by learning the complex motor skills of crochet.…”
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Reinforcement Learning with Probabilistic Boolean Network Models of Smart Grid Devices by Pedro Juan Rivera Torres, Carlos Gershenson García, María Fernanda Sánchez Puig, Samir Kanaan Izquierdo

“…This work demonstrates that PBNs are equivalent to the standard Reinforcement Learning Cycle, in which the agent/model has an interaction with its environment and receives feedback from it in the form of a reward signal. …”
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Valuing students’ mindsets in essay compositions: Active learning and feedback approaches by Aisah Apridayani, Budi Waluyo

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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Transmigrant Students’ Motivation and Problems in Learning Local Languages: Language Maintenance by Gunawan Tambunsaribu

“…This study aims to find out the motivations or factors that cause transmigrant students to learn other local languages and what obstacles they face when learning these other local languages. …”
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Use of machine learning in osteoarthritis research: a systematic literature review by Francis Berenbaum, Jérémie Sellam, David Klatzmann, Atul J Butte, Karine Louati, Encarnita Mariotti-Ferrandiz, Marie Binvignat, Valentina Pedoia

“…Overall, 35% of the articles described the use of deep learning And 74% imaging analyses. A total of 85% of the articles involved knee OA and 15% hip OA. …”
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High-performance federated continual learning algorithm for heterogeneous streaming data by Hui JIANG, Tianliu HE, Min LIU, Sheng SUN, Yuwei WANG

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GIOS ONLINE PLATFORM AS A TOOL FOR OVERCOMING LEARNING LOSSES IN MATHEMATICS by Daryna V. Vasylieva, Tetiana L. Hodovaniuk

Subjects: “…learning losses…”
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