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Integrating Explainable AI in Education: Challenges and Advancements – A Systematic Review
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A Comprehensive Vision-Based Gait Data Collection Framework with a Systematic Multi-Camera Placement Strategy
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AI/ML for D2D Communication in 5G/6G Networks and Beyond: Concept, Applications, Challenges, and Future Directions
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Serious Games in Nursing Education: Scoping Review of Applications, Effectiveness, and Future Directions
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Robust Camera Pose Estimation from Line Correspondences Using GNC
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Stereo Camera-based Free Space Estimation for Docking in Urban Waters
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Transferring between sports: the case of Icelandic youth sport
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: three-level entropy-driven object detection via mmWave radar and camera fusion
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Optical Flow-Enhanced Thermal UAV Detection Under Camera Ego-Motion for Real-Time Tactical C-UAV
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A nanogenerator review of current trends, advancement and future directions
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AI in Automated and Remote UX Evaluation: A Systematic Review (2014–2024)
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A Systematic Literature Review: Cognitive Workload Assessment in Human Factors Research
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Deep Learning and Digital Literacy: A Systematic Literature Network and Bibliometric Review
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A Systematic Review on the use of Deep Learning in Classifying Malicious Network Traffic
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Sustainable and resilient cyber-physical production systems: A systematic literature review
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Decentralizing the Internet of Things: A Systematic Exploration of Blockchain Integration, Architectures, and Cross-Domain Applications
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Training of Physical Education and Sports Specialists to Meet the Needs of the Labour Market
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Edge‐Assisted Multimodal Athletic Performance Analysis Optimization for Smart Sports
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Linear Programming Solutions to the Linear Ordering Problem in Major American Sports
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Heart Rate Monitors for the Estimation of Physical Activity in Patients With Cardiovascular Disease: Systematic Review
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A systematic review of security-aware task scheduling in cloud, fog, and edge computing
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Mechanisms of Engagement With Mobile Health Apps for Adults With Long-Term Conditions: Overview of Systematic Reviews
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A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
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An IoT-based interpretable machine learning framework for physical fitness evaluation in sports training