Parents’ Opinions about their Children’s Distance Learning during the First Wave of the Covid-19 Pandemic by Maja Drvodelić, Vlatka Domović

“…The results indicate that distance education positively contributed to the development of children’s self-regulated learning and to providing greater parental support in learning, as well as empowering children in using ICT. …”
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Ensemble learning-based abnormality diagnosis in wrist skeleton radiographs using densenet variants voting by Sajid Khan, Faiqa Arshad, Maryam Zulfiqar, Muhammad Asif Khan, Sufyan Ali Memon

“…However, more work needs to be done to propose methods with improvements as the accuracy for the conventional methods is far away from 90$\%$. This paper presents an ensemble learning-based classification system for detecting abnormality in wrist radiographs. …”
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“It took a village” - Stories from students in the social sciences about learning quantitative methods by Jully Paola Merchán Tamayo, Simon G. Beaudry, Dominique Gagnon, Nada Nasser, Meredith A. Rocchi

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Lightweight Deep Learning for sEMG-Based Fingers Position Classification and Embedded System Deployment by Victor H. Benitez, Jesus Pacheco, Guillermo Cuamea-Cruz

“…This paper presents a lightweight deep learning approach for classifying and tracking finger positions based on surface electromyography (sEMG) signals, designed with a perspective of its implementation in embedded systems. …”
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Provide a Solution Based on Teacher and Student Learning Algorithm to Reduce Regression Test Cases by Mahmood Deypir, Amirhossein Mohammadpour

“…In this paper, a technique for reducing regression test cases based on teacher-student optimization method was presented. This method was studied in two stages of teacher (education phase) and student (learning phase) on the test set and was implemented with different parameters. …”
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Iranian EFL Learners' Self-regulation Development through Computer-Assisted Autonomous Language Learning by Mohammad Javad Tandiseh, Mohammad Taghi Farvardin, Seyed Foad Ebrahimi

“…<p>This study investigated the effect of implementing Computer-Assisted Autonomous Language Learning (CAALL) on the development of self-regulation in Iranian EFL learners through a mixed-methods design. …”
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No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method by Ardhi Muda Ariska, Tubagus Maulana Kusuma

“…No-reference Video Quality Assessment (VQA) presents a critical challenge in digital multimedia. …”
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A Q-Learning Proposal for Tuning Genetic Algorithms in Flexible Job Shop Scheduling Problems by Christian Perez, Carlos March, Miguel A. Salido

“…A toy example is presented to better understand the behavior of the proposal and the results obtained for optimizing further instances of the problem in a more efficient way.…”
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Design of LQ regulators with prescribed degree of stability for dual-rate systems based on reinforcement learning by Vojislav Filipović, Milan Matijević, Saša Ćuković

“…Finally, it is demonstrated that the presented inferential control system remains effective in the presence of multiplicative unmodeled dynamics. …”
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Hybrid modeling of adsorption process using mass transfer and machine learning techniques for concentration prediction by Jing Lv, Lei Wang

“…Abstract This study presents a comprehensive hybrid modeling framework that integrates computational fluid dynamics (CFD) with machine learning (ML) techniques to predict chemical concentration distributions during the adsorption of organic compounds onto porous materials. …”
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Outdoor Learning at U.S. Higher Education Institutions: A Systematic Review of Research—1996 to 2020 by Charles T. Townley, Maria Emilia Martinez, Brandon A. Clark

“…Results and discussion are presented in seven categories. Outdoor learning research (OLR) publication frequency is growing, but is diffused among many journals resulting in limited communication of results. …”
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Research Opportunity Analysis in The Implementation of Scientific Literacy with Learning Media: Systematic Literature Network Analysis by Olyivia Retdwina Rusma, Muslim Muslim, Lilit Rusyati, Adlina Eugenia Fatimah Ghaisani

“…This study aims to show research trend data related to learning media related to science literacy. This research uses the Systematic Literature Network Analysis (SLNA) method. …”
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Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation by J. M. Torres, R. M. Aguilar

“…In this paper we propose using different deep-learning techniques and architectures to solve the problem of predicting wind generation in order to participate in the daily market, by making predictions 12 and 36 hours in advance. …”
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Discovering Breach Patterns on the Internet of Health Things: A Graph and Machine Learning Anomaly Analysis by Prabin B Lamichhane, Hannah Mannering, William Eberle

“…In this work, we analyze the performance of traditional statistical, machine learning, and graph-based anomaly detection approaches in response to this problem. …”
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Mind your language: enhancing medical student learning during non-English language consultations by Enam Haque, Thulasi Naveenan, Genevieve Shimwell, Jasmin Farikullah, Rachel Lindley, Helen Marsden

“…General Practice provides an excellent opportunity for students to see patients with undifferentiated presentations and to acknowledge how General Practitioners (GPs) deal with medical complexity, uncertainty and psycho-social issues facing patients. …”
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Comparison of Machine Learning Algorithms to Predict Down Syndrome During the Screening of the First Trimester of Pregnancy by Eduardo Alonso, Andoni Beristain, Jorge Burgos, Ibai Gurrutxaga

“…This paper presents a novel approach for screening women in their first trimester of pregnancy to identify those at high risk of having a child with Down syndrome (DS), using machine learning algorithms. …”
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Electric Submersible Pump Fault Diagnosis Based on Laplacian Eigenmaps and Weighted Extreme Learning Machine by XU Zekun, FU Jun, GAO Xiaoyong, ZHANG Yu, LI Qiang, TAN Chaodong

“…The results show that the classification average accuracy, maximum accuracy, and G-mean of the algorithm proposed in this paper are improved by more than 10% on average compared with those of the support vector machine, decision tree, backpropagation (BP) algorithm, extreme learning machine, and weighted extreme learning machine, thus confirming the effectiveness of the proposed method.…”
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Exploring the Impact of Mobile Devices in E-Learning: A case Study Evaluating its Effectiveness by Khalid Ghoulam, Belaid Bouikhalene

“…The integration of mobile devices into educational environments has revolutionized the landscape of e-learning, presenting new opportunities and challenges. …”
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Cooperative Drone and Water Supply Truck Scheduling for Wildfire Fighting Using Deep Reinforcement Learning by Lin-Yuan Bai, Xin-Ya Chen, Hai-Feng Ling, Yu-Jun Zheng

“…To solve the problem within the limited emergency response time, we propose a deep reinforcement learning method, which consists of an encoder for embedding the input instance features and a decoder for generating a solution by iteratively predicting the subarea selection decision through attention. …”
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Enhancing Smart Home Security: Blockchain-Enabled Federated Learning with Knowledge Distillation for Intrusion Detection by Mohammed Shalan, Md Rakibul Hasan, Yan Bai, Juan Li

“…This study addresses these challenges by presenting a federated learning framework enhanced with blockchain technology to detect intrusions in smart home environments. …”
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