A systematic review of machine learning applications in predicting opioid associated adverse events by Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David A. Jenkins, Meghna Jani

“…Abstract Machine learning has increasingly been applied to predict opioid-related harms due to its ability to handle complex interactions and generating actionable predictions. …”
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What we learned about headache during the COVID-19 pandemic: literature review by E. Januškevičiūtė, J. Grigaitė, K. Ryliškienė

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Solution Algorithms for Single-Machine Group Scheduling with Learning Effect and Convex Resource Allocation by Wanlei Wang, Jian-Jun Wang, Ji-Bo Wang

“…This paper deals with a single-machine resource allocation scheduling problem with learning effect and group technology. Under slack due-date assignment, our objective is to determine the optimal sequence of jobs and groups, optimal due-date assignment, and optimal resource allocation such that the weighted sum of earliness and tardiness penalties, common flow allowances, and resource consumption cost is minimized. …”
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Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study by Riccardo Mennilli, Luigi Mazza, Andrea Mura

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Deep reinforcement learning to enhance the energy-efficient performance of UAV-enabled F-RAN by Haibo MEI, Kun YANG, Xinyu FAN

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Accurate LAI estimation of soybean plants in the field using deep learning and clustering algorithms by Bing Shi, Luqi Guo, Lejun Yu

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An Interview-Based Study of Pioneering Experiences in Teaching and Learning Complex Systems in Higher Education by Joseph T. Lizier, Michael S. Harré, Melanie Mitchell, Simon DeDeo, Conor Finn, Kristian Lindgren, Amanda L. Lizier, Hiroki Sayama

“…We found a striking level of commonality in the issues expressed as well as the strategies handling them, for example, a significant focus on problem-based learning and the use of major student-led creative projects for both achieving and assessing learning outcomes.…”
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An intelligent attention based deep convoluted learning (IADCL) model for smart healthcare security by J. Maruthupandi, S. Sivakumar, B. Lakshmi Dhevi, S. Prasanna, R. Karpaga Priya, Shitharth Selvarajan

Subjects: “…Intelligent Attention based Deep Convoluted Learning (IADCL)…”
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Pengembangan konseling behavioral teknik modeling untuk meningkatkan self regulated learning siswa by Latsiar Simanjuntak, Luh Putu Sri Lestari

Subjects: “…konseling behavioral, self-regulated learning, teknik modeling…”
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GMTBLC: a deep learning-based bi-modal network traffic classification method by WEI Debin, JIANG Qinlong, WEN Jinglong, WANG Xinrui

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Enhancing Student Motivation and Competencies: Integrating E-Learning, Technological Literacy, and Cultural Alignment by Boumedyen Shannaq, Imran Saleem, Said AlRawahi, Saad Almhlawi, Said AlMaqbali

“…This study explores the integration of open innovation in education with a focus on technology and cultural aspects, aiming to foster improvements in educational management and policy within Oman learning environments. The research investigates the relationships between technological literacy (TL), cultural compatibility (CC), human face-to-face communication methods (HFtFCM), and student motivation and engagement (SMaE). …”
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Deep learning-driven defense strategies for mitigating DDoS attacks in cloud computing environments by Doaa Mohsin Abd Ali Afraji, Jaime Lloret, Lourdes Peñalver

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Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model by Liang Guo, Yuxin Dong, Deyong Zhang, Xinrong Pan, Xinjie Jin, Xinyu Yan, Yin Lu

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Forming Critical Thinking: The Role of Students’ Epistemic Beliefs and Styles of Learning in Russian Universities by Kseniya V. Tarasova, Daniil P. Talov, Irina A. Shcheglova, Taras V. Pashchenko, Anastasiia Yu. Beliaeva

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Dissolved Gas Analysis for Fault Prediction in Power Transformers Using Machine Learning Techniques by Sahar R. Al-Sakini, Ghassan A. Bilal, Ahmed T. Sadiq, Wisam Abed Kattea Al-Maliki

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Pharmacy Students’ Views on Pilot Interprofessional Learning at a Teaching Hospital in Pahang, Malaysia by Nor Hidayah Mohd Taufek, Norny Syafinaz Ab Rahman, Tengku Karmila Tengku Mohd Kamil, Mohamad Haniki Nik Mohamed, Nur Amni ‘Afifah Mohd Faisal, Christopher John Turner

Subjects: “…Interprofessional learning…”
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Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy by LI Gang, WU Qi, WANG Xiang, LUO Hao, LI Lianghong, JING Xiaorong, CHEN Qianbin

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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

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INTERNET-BASED APPROACH IN DISTANCE LEARNING OF PARAGRAPH-WRITING COURSE AT STKIP MUHAMMADIYAH BARRU by Siti Hardiyanti Amri

Subjects: “…Distance learning…”
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