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Multi-Output Regression for the Prediction of World-Class Performances in Women’s Handball

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Quantum Transfer Learning: The Impact of Classical Preprocessing

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ST-DPGAN: A Privacy-Preserving Framework for Spatiotemporal Data Generation

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Machine-Assisted Thematic Mapping of AI in Education Discourse: A Systematic Review from 2005-2024

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Thermal sentinel: Low-earth orbit infrared intelligent system for flying civil aircraft safety

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Leveraging Quantum Machine Learning for Intrusion Detection in Software-Defined Networks

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MDSBR: Multimodal Denoising for Session-based Recommendation

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An end-to-end solution for out-of-hospital emergency medical dispatch triage based on multimodal and continual deep learning

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The Role of Intelligent Data Analysis in Selected Endurance Sports: A Systematic Literature Review

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Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction

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A Modular Perspective on the Evolution of Deep Learning: Paradigm Shifts and Contributions to AI

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Microbial computing: Review and Perspectives

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Sinusoidal Approximation Theorem for Kolmogorov–Arnold Networks

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Geopolymer memristor-based physical reservoir computing for digit recognition

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Classification of NaCl and CsCl Crystal Structures: Establishing an Integrated Didactic Approach for Machine Learning and Chemistry in Upper Secondary Education

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From Numerical Models to AI: Evolution of Surface Drifter Trajectory Prediction

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Prediction of Skid Resistance of Asphalt Pavements on Highways Based on Machine Learning: The Impact of Activation Functions and Optimizer Selection

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Bi-Objective Portfolio Optimization Under ESG Volatility via a MOPSO-Deep Learning Algorithm

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Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning

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