Making virtual learning environment more intelligent: application of Markov decision process by Dalia Baziukaitė

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Editorial – Living, Caring, Learning: The nurse-patient relationship in bleeding disorders care by Smith Clive

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Adaptive Traffic Signal Control Model on Intersections Based on Deep Reinforcement Learning by Duowei Li, Jianping Wu, Ming Xu, Ziheng Wang, Kezhen Hu

“…., “Simulation of Urban Mobility” (SUMO), using the technology of modern deep reinforcement learning. The model is proposed based on a deep Q-network algorithm that precisely represents the elements associated with the problem: agents, environments, and actions. …”
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An Update on the Controversies in Anemia Management in Chronic Kidney Disease: Lessons Learned and Lost by Geoffrey Teehan, Robert L. Benz

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A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling by Haiying Che, Zixing Bai, Rong Zuo, Honglei Li

“…This study aimed at building a new scheduling model with deep reinforcement learning algorithm, which integrated the task scheduling with resource-utilization optimization. …”
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Application of environment learning models to the results of motive design in decorative design courses by Yusmerita Yusmerita, Yulia Aryati, Puji Hujria Suci

“…This study intends to increase the creative results of student motif designs in the Decorative Design course by applying a learning model based on the natural environment (Environment Learning). …”
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Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area by Girma Tariku, Isabella Ghiglieno, Andres Sanchez Morchio, Luca Facciano, Celine Birolleau, Anna Simonetto, Ivan Serina, Gianni Gilioli

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Dendrites endow artificial neural networks with accurate, robust and parameter-efficient learning by Spyridon Chavlis, Panayiota Poirazi

“…Our findings suggest that the incorporation of dendritic properties can make learning in ANNs more precise, resilient, and parameter-efficient and shed new light on how biological features can impact the learning strategies of ANNs.…”
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TriangularSORT: A Deep Learning Approach for Ship Wake Detection and Tracking by Chengcheng Yu, Yanmei Zhang

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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…Through natural language processing and machine learning techniques, unstructured data forms from these sources can be analyzed using traditional statistical learning. …”
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Colors and Learner’s Gender Evoke Different Emotional and Cognitive Effects in Multimedia Learning by Tze Wei Liew, Su-Mae Tan, Chin Lay Gan, Wei Ming Pang

“…The emotional design principle avers that highly saturated warm colors in multimedia learning presentations can elevate affective-motivational, cognitive, and learning outcomes. …”
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Effective First-Break Picking of Seismic Data Using Geometric Learning Methods by Zhongyang Wen, Jinwen Ma

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Developing Interactive Learning Worksheets (LKPD) with Google Slides for Elementary School Teachers by Endah Rahayu Ningsih, Mawardi Mawardi, Yari Dwikurnaningsih

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The AI-knowledge management nexus for sustainable learning: A PLS-SEM study by Sashi Ranjan, V. P. Joshith, K. Kavitha, Shana Chittakath

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Enhancing technological sustainability in academia: leveraging ChatGPT for teaching, learning and evaluation by Labaran Isiaku, Abubakar Sadiq Muhammad, Hyelda Ibrahim Kefas, Fitzgerald Chidozie Ukaegbu

“…Findings – The study indicates that ChatGPT can have a significant impact on personalized learning, lesson planning, providing feedback, creating study materials, generating quizzes and exam questions, supporting language learning, offering virtual teaching assistance, tutoring and fostering critical thinking. …”
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Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning by Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic

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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features by Ayodeji O. J. Ibitoye, Joseph D. Akinyemi, Olufade F. W. Onifade

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The Correlation Between Language Learning Strategies and Students’ Thinking Styles of IAIN Langsa by Muslem, Shafrida Wati, Sagita Devi Siregar

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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Nitrogen by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Machine Learning-Based Normal White Blood Cell Multi-Classification Optimization by Taeyeon Gil, Sukjun Lee, Onseok Lee

“…Several studies have employed deep learning (DL) or machine learning (ML) methods; no significant difference in performance between the two methods has been demonstrated. …”
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