Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

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Pre-Service Science Teachers’ Skills to Express The Algorithms Used in Solving Physics Problems with Flowcharts (An Example From Turkey) by H. S. Kurt, Z. Doğan

Subjects: “…algorithm…”
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The Role of Artificial Intelligence in Criminal Investigations in India by Kumar Navin

“…Predictive policing algorithms can be used to predict crime hotspots, while facial recognition systems can help identify suspects in a matter of minutes rather than hours and days taken in the manual methods. …”
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A Comparative Study between Different Machine Learning Algorithms for Estimating the Vehicular Delay at Signalized Intersections by Yazan Alatoom, Abdallah Al-Hamdan

Subjects: “…machine learning for delay prediction…”
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Preoperative Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma Using Machine Learning-Based Ultrasomics by Li Y, Duan S, Ren S, Li D, Ma Y, Bu D, Liu Y, Li X, Cai X, Zhang L

“…The model constructed based on the RF algorithm in the test set has a high accuracy rate and specificity, and the overall performance of the models is better than that of the other four algorithm models, the AUC, accuracy, specificity, and sensitivity of its combined model and ultrasomics model are significantly higher than the clinical model.Conclusion: ML-based ultrasomics model is an effective tool for predicting MTM-HCC before surgery. …”
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Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

“…For WPP, the LGBM and BDT algorithms demonstrate strong predictive performance across different time scales, with MAPE, MSE, EV, R, and CCC values ranging from 0.277 to 186.710%, 0.927 to 9444.576, 0.970 to 1.000, 0.985 to 1.000, and 0.985 to 1.000, respectively.…”
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Application research on classification and integration model of innovation and entrepreneurship education resources based on GNN-PSO algorithm by Yongjian Dong

“…The model uses the powerful feature extraction ability of GNN to dig deep into the internal relationship between educational resources. At the same time, it optimizes the classification and integration process with the help of the PSO algorithm's global search advantage. …”
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Algorithmes de recommandation et culture technique : penser le dialogue entre éducation et design by Arnaud CLAES, Victor WIARD, Heidi MERCENIER, Thibault PHILIPPETTE, Marie DUFRASNE, Arnaud BROWET, Raphaël JUNGERS

“…Through the analysis of two case studies, one on how young people appropriate recommendation systems and the other on modelling alternative approaches, we will examine how the dialogue between media education and algorithm design can help us rethink our relations with so-called "intelligent" technologies.…”
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Retracted: Decision Tree Algorithm-Based Model and Computer Simulation for Evaluating the Effectiveness of Physical Education in Universities by null Complexity

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Implementation of the Long Short-Term Memory Algorithm in a Chatbot for Dengue Fever Information and Education Services by Heru Budianto, Fahmi Yusuf, Dede Irawan, Muhamad Akhirul Sidik, Aiena Nurhasanah, Sabrina Mauldya, Silmi Nur Afifah

“…This study developed a chatbot integrating the Long Short-Term Memory (LSTM) algorithm to answer various questions about dengue fever, including its symptoms, prevention, and treatment. …”
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Obstacles and Regulation Deconstruction of Athletes’ Psychological Training Based on Machine Learning Algorithm in Physical Education Teaching by Xin Jiang

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Analysis of influencing factors and trend prediction based on quantile regression and GM(1, 1) model by Lianhui Li, Adham Manyara, Jie Liu

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Research on Real-Time Control Strategy of Air-Conditioning Water System Based on Model Predictive Control by Dehan Liu, Jing Zhao, Yibing Wu, Zhe Tian

“…This study proposes an online real-time control strategy for the air-conditioning water system based on the model predictive control (MPC) principle, implemented and validated on the integrated energy experimental platform. …”
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Different Approaches to Artificial Intelligence–Based Predictive Maintenance on an Axle Test Bench with Highly Varying Tests by Markus Siebert, Michael Fister, Christian Spieker, Daniel Stengler

“…The implementation of a machine learning and a deep learning algorithm for predictive maintenance through early damage detection on an electric rear axle test bench is presented in this paper. …”
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Prediction for the Risk of Multiple Chronic Conditions Among Working Population in the United States With Machine Learning Models by Jingmei Yang, Xinglong Ju, Feng Liu, Onur Asan, Timothy Church, Jeff Smith

“…However, few studies have been conducted on the predictive analysis of multiple chronic conditions (MCC) based on the working population. …”
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Leveraging Deep Spatiotemporal Sequence Prediction Network with Self-Attention for Ground-Based Cloud Dynamics Forecasting by Sheng Li, Min Wang, Minghang Shi, Jiafeng Wang, Ran Cao

“…However, the inherent fuzziness and dynamism of ground-based clouds have hindered the development of effective prediction algorithms, resulting in low accuracy. This paper presents CloudPredRNN++, a novel method for predicting ground-based cloud dynamics, leveraging a deep spatiotemporal sequence prediction network enhanced with a self-attention mechanism. …”
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Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques by Hadis Ghaedrahmati, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, Mohammadreza Aghaei, Mohammadreza Aghaei

“…The evaluation, using various statistical metrics, shows that the XGBoost algorithm outperforms others, achieving up to 91% accuracy in predicting energy production from PV systems.…”
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Deep learning framework based on ITOC optimization for coal spontaneous combustion temperature prediction: a coupled CNN-BiGRU-CBAM model by Xuming Shao, Wenhao Liu, Gang Bai, Yan Chen, Yu Liu, Jiahe Guang

“…Accurate temperature prediction, crucial for assessing coal oxidation stages and combustion risk, underpins early warning systems. …”
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Predictive exploratory data analysis of shopfloor CNC machine operation through a machine learning model by Tarique Ameer, Omid Fatahi Valilai

“…This paper has focused on advanced analytic techniques and machine learning algorithms to predict and classify the problems of the manufacturing environment in connection with the supply chain. …”
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Video-Driven Artificial Intelligence for Predictive Modelling of Antimicrobial Peptide Generation: Literature Review on Advances and Challenges by Jielu Yan, Zhengli Chen, Jianxiu Cai, Weizhi Xian, Xuekai Wei, Yi Qin, Yifan Li

“…By integrating video analysis with computational modelling, researchers can visualise and quantify AMP–microbe interactions at unprecedented levels of detail, thereby informing both experimental design and the refinement of predictive algorithms. This review provides a comprehensive overview of these emerging techniques, highlights major breakthroughs, addresses critical challenges, and ultimately emphasises the powerful synergy between video-driven pattern recognition, AI-based modelling, and experimental validation in the pursuit of next-generation antimicrobial strategies.…”
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