Yingying Shi
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Application of deep learning based motion posture recognition in sports training
Abstract The increasing demand for precise and real-time analysis of athletic movements has driven the adoption of advanced deep-learning techniques in sports training. Traditional methods often rely on manual observation or shallow machine learning models, which cannot capture complex spatial and temporal dynamics of human motion.
Lipid metabolism at the intersection of rheumatoid arthritis and atherosclerosis
Abstract Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic, symmetric polyarticular synovitis, with a global prevalence of approximately 0.5%-1%. Its pathogenesis involves a complex interplay of genetic and environmental factors, as well as abnormal immune activation. RA patients face a significantly increased risk of cardiovascular disease, with atherosclerosis (AS) and its complications being the leading cause of mortality.
Computer Science > Computer Vision and Pattern Recognition
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