Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…In the state-of-the-art method, the DRL-based approach enlarges the secure key generation rate by 15–20 % and suppresses QBER 30–40 % under noisy conditions. …”
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Enhancing Fault Diagnosis: A Hybrid Framework Integrating Improved SABO with VMD and Transformer–TELM by Jingzong Yang, Xuefeng Li, Min Mao

“…To address this challenge, this study proposes an intelligent diagnostic method that integrates variational mode decomposition (VMD) optimized by the improved subtraction-average-based optimizer (ISABO) with transformer–twin extreme learning machine (Transformer–TELM) ensemble technology. …”
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An Emphasis on the Critical Roles of Academic Simplified Material and its Influences on Learners' Boredom in Online Instruction, Attitudes to Electronic Learning, Self-regulated On... by Goodarz Shakibaei, Arash Hashemifardni, Maryam Amini

“…To do this, 70 intermediate volunteers were chosen using a quasi-experimental design based on a convenience sampling method. Two experimental groups (EGs) (one for simplified texts and the other for authentic texts) were selected. …”
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Chinese MOOC learners’ satisfaction and continuance intention: A mixed-method study by Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

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Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers by Xiansheng Guo, Sihua Shao, Nirwan Ansari, Abdallah Khreishah

“…Unlike the existing RSSs-based algorithms, several representative machine learning algorithms are adopted to train multiple classifiers based on these RSSs fingerprints. …”
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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

“…The explosion of digital healthcare data has led to a surge of data-driven medical research based on machine learning. In recent years, as a powerful technique for big data, deep learning has gained a central position in machine learning circles for its great advantages in feature representation and pattern recognition. …”
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Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection by Sara Roos-Hoefgeest, Mario Roos-Hoefgeest, Ignacio Álvarez, Rafael C. González

“…This paper introduces a novel Reinforcement Learning (RL) approach to optimize inspection trajectories for profilometric sensors based on the boustrophedon scanning method. …”
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Limits of Solar Flare Forecasting Models and New Deep Learning Approach by G. Francisco, M. Berretti, S. Chierichini, R. Mugatwala, J. Fernandes, T. Barata, D. Del Moro

“…We introduce patch-distributed CNNs, which allow us to perform full-disk forecasts while providing event probabilities in solar subregions and position predictions. This new framework offers similar information to active region (AR)-based forecasting models while bypassing the problem of unrecorded and misattributed flares that are detrimental to machine learning training. …”
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Coaching: An Effective Approach to Facilitate Performance, Learning and Advancement of Medical Students by Fariba Asgari, Hojjat Houshyari khah, Marzieh Shayestehfard

“…This is achieved by setting learner-centered goals, selecting strategies to reach these goals, and self-assessing their learning. In this framework, coaches typically position themselves as supportive guides, encouraging students to question and explore (7). …”
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Means and methods of formation of organizational and managerial competence of a university teacher by Natalya V. Solovova, Natallia V. Sukhankina

“…It has been revealed that it is reasonable to use the methods as follows: ways of positive motivation formation (productive learning environment; diversity and inclusion; professional and personal achievements and accomplishments, etc.); interactive teaching methods (role-playing and business games, discussions, brainstorming, case studies, trainings, etc.); methods for the development of personal educational environment (the use of personal experience of teachers, self-reflection, self-knowledge, etc.). …”
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Hybrid E-Recommendation System for Multi-Shop Environment by Hawraz Abdalla Abubakr, Kamaran Faraj

“…The system uses techniques such as hybrid/blended methods using singular value decomposition and K-nearest neighbors for collaborative filtering (CF) to recommend shops and products based on customer ratings, alongside term frequency-inverse document frequency vectorization and cosine similarity for content-based filtering. …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…There is an urgent need for a reliable prediction model, accessible via an easy-to-use web-based tool, to evaluate the risk of death. …”
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Multimedia-enhanced learning of volleyball rules in physical education and sports faculties by Ahmed Tayoush, Ahmad Hamad, Hamdi Chtourou

“…In light of potential limitations in traditional teaching methods, exploring innovative approaches becomes imperative to enhance the learning experience. …”
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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…It outperformed previous deep learning-based methods in automatically segmenting the ulna and radius. …”
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USE OF VIDEOGAMES AS LEARNING STRATEGIES IN MEDICAL STUDENTS: A SYSTEMATIC REVIEW by Iván HERNÁNDEZ-PORRAS, Diego-Oswaldo CAMACHO-VEGA, Luis Hernán CARRILLO-VÁRGUEZ

“…Objective: This systematic review aimed to evaluate the relevance of videogame-based strategies in cognitive learning outcomes among the medical students. …”
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deepBBQ: A Deep Learning Approach to the Protein Backbone Reconstruction by Justyna D. Kryś, Maksymilian Głowacki , Piotr Śmieja , Dominik Gront

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Faculty Members' Attitude, Perceived Barriers, and Motivators toward Using E-Learning in University Education by Wessam A. Elsayed, Shaimaa M. Nageeb, Walaa N. Othman

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Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR) by Vijitha S Vempuluru, Gaurav Patil, Rajiv Viriyala, Krishna K Dhara, Swathi Kaliki

“…Purpose: To test the accuracy of a trained artificial intelligence and machine learning (AI/ML) model in the diagnosis and grouping of intraocular retinoblastoma (iRB) based on the International Classification of Retinoblastoma (ICRB) in a larger cohort. …”
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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

“…Abstract Privacy and security in network communication have been enhanced via encryption and traditional anomaly detection methods are no longer effective because of their payload inspection. …”
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Hierarchical Reinforcement Learning for Viewpoint Planning with Scalable Precision in UAV Inspection by Hua Wu, Hao Li, Junwei Yu, Yanxiong Wu, Xiaojing Bai, Mengyang Pu, Li Sun, Yihuan Li, Juncheng Liu

“…To address the issues of excessive waypoints and inadequate observation precision in traditional methods, this paper proposes a hierarchical reinforcement learning-based viewpoint planning method. …”
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