Arctic tern-optimized weighted feature regression system for predicting bridge scour depth by Jui-Sheng Chou, Asmare Molla

“…This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. This prediction system amalgamates the strengths of hybrid models by uniting a metaheuristic optimization algorithm with weighted features and least squares support vector regression (WFLSSVR). …”
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Temperament, Emotion Regulation, and Affective Family Climate in Predicting Oppositional Behaviors in Male Adolescents by parsa javanmard, Farnaz Farshbaf

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A Blending Ensemble Approach to Predicting Student Dropout in Massive Open Online Courses (MOOCs) by Muhammad Ricky Perdana Putra, Ema Utami

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THE DESCRIPTION OF THE MODEL OF A GAMIFICATION-BASED ENVIRONMENT FOR BUSINESS SIMULATION USING THE UNIFIED MODEL LANGUAGE (UML) METHODS by Victor TIȚA, Daniel NIJLOVEANU, Doru Anastasiu POPESCU, Nicolae BOLD

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Building Professional Skills and Reducing Student Stress with Competency-based Education: An Exploratory Case Study by Ajay Rampersad, Noah Gentner

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Current situation and reform trend of medical practical course teaching mode in the "AI+Education" era by CHENG Shan, CONG Lin, HU Wendong, XIONG Kaiwen, MA Jin

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Patterns, Trends and Policy Processes in Spanish Secondary Education: Multiple Streams in a Multilevel Context by Eliseo López Sánchez, Esther del Campo

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Behavioral Disorders in Preschool Children in Groups of Preschool Educational Institutions: Causes and Ways to Overcome Them by Валентина Роменкова

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The analysis of social appearance anxiety levels of physical education teacher candidates in terms of different variables by Metin Yuceant, Huseyin Unlu

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Understanding the Role of the North Pacific Victoria Mode in ENSO Predictability Based on the NMME Hindcasts by Zhengyi Ren, Zongrong Li, Ruiqiang Ding, Jiangyu Mao

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A MPCC-Based Variable Sampling Time Interleaving Method for a Two-Phase Totem-Pole Bridgeless Boost PFC Converter by Hyun-Gyu Koh, Hyeon-Joon Ko, Yeong-Jun Choi

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Data-Driven Prediction of Binder Rheological Performance in RAP/RAS-Containing Asphalt Mixtures by Eslam Deef-Allah, Magdy Abdelrahman

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Data-intelligence driven methods for durability, damage diagnosis and performance prediction of concrete structures by Fan Li, Daming Luo, Ditao Niu

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Applying a transformer architecture to intraoperative temporal dynamics improves the prediction of postoperative delirium by Niklas Giesa, Maria Sekutowicz, Kerstin Rubarth, Claudia Doris Spies, Felix Balzer, Stefan Haufe, Sebastian Daniel Boie

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Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics by Huiling Qin, Atef F. Hashem, Muhammad Farhan Hanif, Osman Abubakar Fiidow

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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading by Mohammad Hematibahar, Ahmed Deifalla, Adham E. Ragab, Gebre Tesfaldet

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Pancasila as a Foundation for Legal Reform: Evaluating the Impact of Civic Education on Indonesian Legal Systems by Prakoso Prakoso, Fathur Rokhman, Eko Handoyo

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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper. by Faye Orcales, Lucy Moctezuma Tan, Meris Johnson-Hagler, John Matthew Suntay, Jameel Ali, Kristiene Recto, Phelan Glenn, Pleuni Pennings

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Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks by Kanchev Neven, Stoyanov Nikolay, Milushev Georgi

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Influences of Human Presence on the Indoor Air Quality of Educational Institutions: Concurrent Multipollutant Sensing Approach by Rajib Das, Aritra Acharyya, Shubhankar Majumdar

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