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Feasibility Study on Virtual Reality Based Basketball Tactic Training.

• Authors : Tsai, Wan-Lun; Pan, Tse-Yu; Hu, Min-Chun

Subjects: BASKETBALL training; SIMULATOR sickness; ATHLETIC ability

• Source: IEEE Transactions on Visualization & Computer Graphics; Aug2022, Vol. 28 Issue 8, p2970-2982, 13p

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A VR-Based Motor Imagery Training System With EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation.

• Authors : Lin, Meiai; Huang, Jianli; Fu, Jianming

Subjects: MOTOR imagery (Cognition); REHABILITATION; BASKETBALL training

• Source: IEEE Transactions on Neural Systems & Rehabilitation Engineering; 2023, Vol. 31, p1-10, 10p

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FedFly: Toward Migration in Edge-Based Distributed Federated Learning.

• Authors : Ullah, Rehmat; Wu, Di; Harvey, Paul

Subjects: DATA distribution; TRAINING needs

• Source: IEEE Communications Magazine; Nov2022, Vol. 60 Issue 11, p42-48, 7p

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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STCRNet: A Semi-Supervised Network Based on Self-Training and Consistency Regularization for Change Detection in VHR Remote Sensing Images.

• Authors : Wang, Lukang; Zhang, Min; Shi, Wenzhong

• Source: IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; 2024, Vol. 17, p2272-2282, 11p

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Multilevel Self-Training Approach for Cross-Domain Semantic Segmentation in Intelligent Vehicles.

• Authors : Chen, Yung-Yao; Jhong, Sin-Ye

• Source: IEEE Intelligent Transportation Systems Magazine; Jan/Feb2024, Vol. 16 Issue 1, p148-161, 14p

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Applied Science & Technology Full Text (H.W. Wilson)

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IN4WOOD: A Successful European Training Action of Industry 4.0 for Academia and Business.

• Authors : Romero-Gazquez, Jose Luis; Canavate-Cruzado, Gregorio; Bueno-Delgado, Maria-Victoria

Subjects: INDUSTRY 4.0; WOODWORK; EDUCATION & training services industryEUROPE

• Source: IEEE Transactions on Education; May2022, Vol. 65 Issue 2, p200-209, 10p

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Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data.

• Authors : Liu, Yihao; Carass, Aaron; Zuo, Lianrui

Subjects: DEEP learning; OPTICAL coherence tomography; TRAINING manuals

• Source: IEEE Transactions on Medical Imaging; Dec2022, Vol. 41 Issue 12, p3686-3698, 13p

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