3 papers
cs.LG2025
Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning
Jinmeiyang Wang, Jing Dong, Li Zhou
This paper proposes the MT-DQN model, which integrates a Transformer, Temporal Graph Neural Network (TGNN), and Deep Q-Network (DQN) to address the challenges of predicting user be…
cs.CV2024
GTA-Net: An IoT-Integrated 3D Human Pose Estimation System for Real-Time Adolescent Sports Posture Correction
Shizhe Yuan, Li Zhou
With the advancement of artificial intelligence, 3D human pose estimation-based systems for sports training and posture correction have gained significant attention in adolescent s…
cs.LG2024
Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm
Xiaowei Tang, Bin Long, Li Zhou
This research focuses on real-time monitoring and analysis of track and field athletes, addressing the limitations of traditional monitoring systems in terms of real-time performan…