Systematic review of ChatGPT in higher education: Navigating impact on learning, wellbeing, and collaboration by Naya Abdallah, Rateb Katmah, Kinda Khalaf, Herbert F. Jelinek

“…This paper presents a systematic review of existing literature on using ChatGPT in higher education, following a PRISMA-based methodology to analyze 39 studies published between 2023 and 2024. …”
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Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design by Tianchen Zhou, Yutaka Yakuwa, Natsuki Okamura, Hiroyuki Hochigai, Takayuki Kuroda, Ikuko Eguchi Yairi

“…This paper presents an improved deep reinforcement learning-based (DRL) approach for end-to-end models using a Graph Neural Network(GNN). …”
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Enhancing Portfolio Optimization: A Two-Stage Approach with Deep Learning and Portfolio Optimization by Shiguo Huang, Linyu Cao, Ruili Sun, Tiefeng Ma, Shuangzhe Liu

“…To address this problem, this paper presents a novel two-stage approach that integrates deep learning with portfolio optimization. …”
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Enhancing Critical Thinking in Optics through Project-Based STEAM Learning with Visual Simulations by Imam Al Anshori, Parno Parno, Arif Hidayat, Marlina Ali

“…Experimental group students struggled with explanation during presentations due to time constraints, whereas the control group showed difficulty across most indicators due to a focus on rote learning. …”
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The Effect of Opinion 1/17 on the EU-ECHR Draft Accession Agreement: Lessons Learned? by Jennifer Buckesfeld, Ramses Wessel

“…. – IV. The DAA: Lessons learned from Opinion 1/17? – IV.1 The existence of the treaty’s dispute settlement mechanism outside the EU judicial system. – IV.2 The absence of any competence for foreign courts to interpret and apply EU law. – IV.3 The existence of safeguards against interference with the EU institutions’ proper functioning. – V. …”
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Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization by Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani

“…This experiment employs seven algorithms with hyperparameter optimization to obtain the best performance. Machine learning algorithms are used for classification and regression tasks. …”
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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

“…<b>Background</b>: Recent advancements in machine learning (ML) have significantly influenced the analysis of brain signals, particularly electroencephalography (EEG), enhancing the detection of complex neural patterns. …”
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A Custom Reinforcement Learning Environment for Hybrid Renewable Energy Systems: Design and Implementation by Dalton F. Guedes Filho, Marcelo A. Moret, Erick G. Sperandio Nascimento

“…We present HybridEnergyEnv, an open-source, Gym-style simulation environment designed for reinforcement learning (RL) research in hybrid renewable energy systems (HRES) combining wind, solar, and battery storage. …”
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Development of an Automated Counselling System for Nigerian Open and Distance Learning Students' Programme Selection by Jane Ada Ukaigwe, Abdullateef Ebenmosi Salihu, Christiana Uche Ezeanya, Oluwasogo Adekunle Okunade, Alexander Oseihiemen Irabor

“…This study aims to design an Automated Counselling System (ACS) to improve prospective students' programme and career decisions in an Open and Distance Learning (ODL) institution, using the National Open University of Nigeria (NOUN) as a case study. …”
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Facial recognition targeted attack algorithm based on multiscale frequency decomposition and meta-learning by CAI Jun, HUANG Tianqiang, ZHENG Aokun, YE Feng, XU Chao

“…This enabled the targeted attacks that were the focus of this study. The meta-learning attack module addressed the overfitting and generalization issues present in previous white-box model ensemble attacks, thereby enhancing the efficacy and generalization ability of the generated adversarial examples. …”
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Designing Learning Trajectory on Ratio and Proportion through PMRI with the Indonesian Traditional Food Context by Lucy Asri Purwasi, Zulkardi, Ratu Ilma Indra Putri, Ely Susanti

“…The study aims to design and implement a PMRI-based learning sequence centered on the lemang context to facilitate meaningful learning experiences among junior high school students. …”
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Construction of Knowledge Graph for Marine Diesel Engine Faults Based on Deep Learning Methods by Xiaohe Tian, Huibing Gan, Yanlin Liu

“…., expert systems, traditional machine learning) can hardly cope with the complex failure modes and dynamic operation environment due to the problems of relying on artificial features and insufficient generalization ability. …”
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Exploring the Relationship Between Social–Emotional Learning and Cyberbullying: A Comprehensive Narrative Review by Güçlü-Aydoğan Merve, Morgül Ebru, Bulut Sefa

“…The objective of this study is to present a narrative review examining the relationship between social and emotional competencies, social–emotional learning (SEL) and cyberbullying among adolescents. …”
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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation by Lars H. B. A. Daenen, Joël de Bruijn, Nick Staut, Frank Verhaegen

“…Furthermore, ensemble learning, combining predictions of multiple 2D models, and partially-supervised learning (PSL), enabling training on partially-labeled datasets, have not been explored for preclinical purposes. …”
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Enhancing Defect Detection on Surfaces Using Transfer Learning and Acoustic Non-Destructive Testing by Michele Lo Giudice, Francesca Mariani, Giosuè Caliano, Alessandro Salvini

“…Due to the great heterogeneity of materials and layering configurations, highly specialized expertise is often required to detect the presence and extent of such defects. This study presents a novel approach that leverages transfer learning techniques to improve the detection of debonding defects across different surface types using PICUS, an acoustic diagnostic device developed at Roma Tre University for the assessment of defects in heritage wall paintings. …”
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Data-Driven Modeling of Electric Vehicle Charging Sessions Based on Machine Learning Techniques by Raymond O. Kene, Thomas O. Olwal

“…To address this issue, this study presents data-driven modeling of EV charging sessions based on machine learning (ML) techniques. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm by Liang Li, Jia Wang, Xuetao Li

“…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
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A Deep Learning-Based Method for Detection of Multiple Maneuvering Targets and Parameter Estimation by Beiming Yan, Yong Li, Qianlan Kou, Ren Chen, Zerong Ren, Wei Cheng, Limeng Dong, Longyuan Luan

“…To address this issue, this paper presents a method for high-resolution multi-drone target detection and parameter estimation based on the adjacent cross-correlation function (ACCF), fractional Fourier transform (FrFT), and deep learning techniques. …”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

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Remediation Program with Working Memory and Reading for Students with Learning Difficulties: Elaboration and Pilot Study by Isabella Nicolete Xavier, Simone Aparecida Capellini

“…Conclusions: The result of this research indicates that the structured program for remediation of working memory difficulties has proven to be applicable and can help education professionals as a tool for intervening in working memory deficits and reading decoding skills presented by students with learning difficulties.…”
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