Machine learning suggests climate and seasonal definitions should change under global warming by Milton Speer, Lance Leslie

“…The greater frequency and variability of floods, heatwaves, and droughts challenge traditional definitions of climate periods as 30-year means. Machine learning (ML) studies, focusing on southern Australia, identified the dominant attributes of these precipitation and temperature events. …”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

“…Notably, this surpasses the capabilities of other models that rely on amalgamations of machine learning algorithms and feature dimensionality reduction methods. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…This study explores the application of machine learning algorithms in assessing diabetes risk, with a particular focus on Decision Trees (DT) and Ensemble Learning techniques. …”
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PegasosQSVM: A Quantum Machine Learning Approach for Accurate Fake News Detection by Mehdi Khalil, Chi Zhang, Zhiwei Ye, Peng Zhang

“…Traditional machine learning approaches have limitations in handling the ever-increasing volume and complexity of data. …”
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Visualization of multidimensional data taking into account the learning flow of the self organizing neural network by Gintautas Dzemyda, Olga Kurasova

“… In the paper we discuss the visualization of multidimensional vectors taking into account the learning flow of the self organizing neural network. …”
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Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

Subjects: “…Optimization coupling learning…”
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Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…This paper provides a comprehensive review of character recognition technologies, focusing on the application of Convolutional Neural Networks (CNN) and deep learning methodologies. Through an analysis of three key studies, the research highlights the strengths and limitations of current approaches. …”
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Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

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From Backtracking To Deep Learning: A Survey On Methods For Solving Constraint Satisfaction Problems by Fatima AIT HATRIT, Kamal AMROUN

“…To address this, extensive research has been conducted, leading to the development of effective techniques and algorithms for different types of CSPs, ranging from exhaustive search methods, which explore the entire search space, to modern techniques that use deep learning to learn how to solve CSPs. This paper represents a descriptive and synthetic overview of various CSPs solving methods, organized by approach: systematic search methods, inference and filtering methods, structural decomposition methods, local search-based methods, and deep learning-based methods. …”
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Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

“…Implementasi Machine Learning untuk deteksi cyberbullying dapat dilakukan dengan berbagai algoritma, seperti algoritma probabilistik (Naïve Bayes) maupun supervised learning (Support Vector Machine, k-Nearest Neighbour, Decission Tree), dan metode lainnya yang hingga saat ini terus dikembangkan dengan berbagai pendekatan untuk meningkatkan akurasi deteksi cyberbullying atau non-cyberbullying. …”
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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

Subjects: “…Machine learning…”
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IALight: Importance-Aware Multi-Agent Reinforcement Learning for Arterial Traffic Cooperative Control by Lu WEI, Xiaoyan ZHANG, Lijun FAN, Lei GAO, Jian YANG

Subjects: “…multi-agent reinforcement learning…”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

Subjects: “…Machine Learning…”
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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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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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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

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Reviewing the Impact of Generative AI on ‎Language Learning and Teaching: A Synthesis of Potentials and Pitfalls by Hewa Fouad Ali, Zahra Abdulmutalib Muhammed

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Machine learning regression models and associated variables for predicting preoperative anxiety in paediatric patients by Abdul Rahman, Javed Khan Sheikh, Mohammad Sarwar Raeen

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Task-Based Optimization of CT Trajectories Using a Learned Defect Visibility Metric by Linda-Sophie Schneider, Anshul Dhingra, Andreas K. Maier

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