Beyond the Court: A Survey of Off-Court Factors Affecting Badminton Performance
While on-court performance is crucial in badminton, off-court factors significantly influence an athlete's overall performance. This study aims to investigate the impact of these often-overlooked factors on badminton players. Through a comprehensive literature review,…
AI-Powered Virtual and Augmented Reality Systems for Teaching Social Skills to Individuals With Autism Spectrum Disorder
This project explores the development of AI-powered Virtual Reality (VR) and Augmented Reality (AR) systems to teach social skills to individuals with Autism Spectrum Disorder (ASD), utilizing the Proximal Policy Optimization (PPO) algorithm for…
Performance Evaluation of Player Performance Prediction Models Using Data Mining Techniques
This paper explores the performance evaluation of player performance prediction models using various data mining techniques, focusing on the application of machine learning algorithms to predict individual and team performance in sports. The study…
A Comprehensive Literature Review on Performance Analysis of Badminton Players
Performance analysis is a vital aspect of modern badminton, aiding in the assessment and enhancement of player performance through objective metrics and advanced techniques. This literature review explores key aspects of performance analysis, including…
Critical Review of Studies on the Performance Analysis of Badminton Players
Badminton is a dynamic racket sport that demands high levels of technical precision, tactical awareness, physical endurance, and psychological resilience. Performance analysis in badminton has emerged as a critical research area, helping coaches, analysts,…
A Survey of Off Court Factors Affecting the Performance of Badminton Players
While on-court performance is crucial in badminton, off-court Badminton player performance is not only determined by on-court skills and physical training but also significantly influenced by various off-court factors. This survey examines key off-court…
AI-Based Predictive Maintenance for Enhancing Efficient in Textile Machinery
The textile industry heavily relies on complex machinery, where unexpected failures lead to downtime, increased costs, and production inefficiencies. This study explores AI based predictive maintenance as a solution to enhance the operational efficiency…
Optimizing Performance Evaluation of Badminton Players Using Proximal Policy Optimization (PPO) Algorithm
Badminton performance evaluation has traditionally relied on subjective coaching assessments and basic statistical metrics, limiting scalability and real-time feedback. This study proposes a novel framework leveraging Proximal Policy Optimization (PPO)—a reinforcement learning (RL) algorithm—to…
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