ANALYZING THE EFFECT OF EMOTIONAL INTELLIGENCE AMONG COLLEGE STUDENTS ON ACADEMIC ACHIEVEMENTS USING XGBOOST ALGORITHM
Emotional intelligence (EI) has been increasingly recognized as a critical factor influencing academic success among college students. This study investigates the impact of EI components— self-awareness, self-regulation, motivation, empathy, and social skills—on academic achievements using the XGBoost algorithm, a powerful machine learning technique known for its high predictive accuracy. The primary objective of this work…
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, and players identify strengths, weaknesses, and areas for improvement. This review synthesizes existing literature on performance evaluation methods, with a focus…
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 automate and enhance player performance analysis through data-driven decision-making. By integrating multi-modal inputs (computer vision for shuttle tracking, feedback from players…