Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India by Devraj Dhakal, Kanwarpreet Singh, Kennedy C. Onyelowe, Steven Alejandro Salazar Cazco, Abhishek Sharma, Nassir Alarifi, Fakhrul Islam, Randeep, Krishna Prakash Arunachalam, Youssef M. Youssef

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Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors by Fatih Orhan, Mehmet Nurullah Kurutkan

“…Methods Seven different machine learning models—Decision Tree, Random Forest, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Logistic Regression, XGBoost, and Gradient Boosting—were utilized. …”
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Machine learning-based construction of Immunogenic cell death-related score for improving prognosis and personalized treatment in glioma by Guoyin Li, Yukui Zhao, Yubo He, Zhaoqiang Qian, Yiwen Liu, Xiaoyan Li, Lili Li, Zhiqiang Liu

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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

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Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time by Daiana Colledani, Claudio Barbaranelli, Pasquale Anselmi

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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

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Enhancing Programming Performance, Learning Interest, and Self-Efficacy: The Role of Large Language Models in Middle School Education by Bixia Tang, Jiarong Liang, Wenshuang Hu, Heng Luo

“…Programming education has become increasingly vital within global K–12 curricula, and large language models (LLMs) offer promising solutions to systemic challenges such as limited teacher expertise and insufficient personalized support. …”
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Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students by Yagyanath Rimal, Yagyanath Rimal, Navneet Sharma

“…This study examines the prediction accuracy of ensemble machine learning models by comparing local and global precision, recall, and accuracy for multiclass grading of engineering students. …”
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Identifying Reading Fluency in Pupils with and without Dyslexia Using a Machine Learning Model on Texts Assessed with a Readability Application by Jure Žabkar, Tajda Urankar, Karmen Javornik, Milena Košak Babuder

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Blockchain and the Internet of Things (IoT) in the logistics of work and education by Nowicka Joanna

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PREDICT LEARNERS’ PERFORMANCE USING AN ONTOLOGICAL-BASED MODEL ON AN E-LEARNING PLATFORM by Safa Ridha Albo Abdullah

“…In learning analytics and educational data mining, a prominent challenge is posed by the lack of portability and transferability of predictive models across different courses. …”
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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

“…This study investigates the performance of three machine learning models (decision trees. SVMs, and random forests) in predicting online course participation. …”
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Machine Learning-Based Weld Classification for Quality Monitoring by Rojan Ghimire, Rajiv Selvam

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…E-learning is a rapidly growing and advanced form of education, where students enroll in online courses. …”
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A novel machine learning approach for portfolio optimization by Saman Haratizadeh, Fatemeh Rezaee

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Machine learning algorithms for predicting unemployment duration in Russia by Anna A. Maigur

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COMPARATIVE MACHINE LEARNING ALGORITHM FOR CARDIOVASCULAR DISEASE PREDICTION by Ashish Mishra, Jyoti Mishra, Victor Hugo, Aloísio Vieira Lira Neto

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Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…In the context of low colonoscopy examination rates, our machine learning predictive models may help prompt patients to undergo further examinations and interventions, thereby improve the earlier diagnosis and treatment. …”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

“…In individuals with positive colorectal cancer screenings, colonoscopy rates are low. Our machine learning models can enhance screening rates, aiding in disease prevention. …”
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Learner Support Systems in Distance Learning Education Systems (Comparative Analysis of VU and AIOU) by Ahmad Attiq-ul-Rehman, Amina Shahzadi

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