Machine Learning in Youth Badminton

Dr. Rabiu Muazu Musa holds a PhD in Sports Science from Universiti Sultan Zainal Abidin (UniSZA), Malaysia. His research activity is focused on the development of multivariate and machine learning models for athletic performance. His research interests include sports performance analysis, health promotion, sport and exercise science, talent identification, test, and measurement as well as machine learning in sports. Dr. Anwar P.P. Abdul Majeed is an Associate Professor and Head of Department at the Department of Data Science and Artificial Intelligence at Sunway University, bringing extensive experience in transnational education. He received his PhD in Rehabilitation Robotics from Universiti Malaysia Pahang (UMP). Prior to his current position, he served as an Associate Professor at the School of Robotics, Xi'an Jiaotong Liverpool University, and previously held roles as Senior Lecturer and Head of Programme for Bachelor of Manufacturing Engineering Technology (Industrial Automation) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. As a Chartered Engineer registered with the Institute of Mechanical Engineers (IMechE), UK, he is also a member of the Institute of Engineering and Technology (IET), UK, and a Senior Member of IEEE. His research encompasses rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis, and machine learning applications across various domains.

• Introduction.- Maturity Status as a Predictor of Fitness Efficiency and Neuromotor Control in Youth Badminton Players.- Decision Tree Model for Designing Training Programs in Young Badminton Players Based on Bio-Fitness and Motor Ability Parameters.- Classification of External Load Based on Fitness and Motor Ability Parameters in Youth Badminton.- Identification of Important Anthropometric, Fitness and Motor Ability Parameters for Young Badminton Players.- Essential Competitive and Training Psychological Strategies for Performance in Young Badminton Players.- Fitness and Motor Ability Parameters in Classifying Winners and Losers During Badminton Match Play.- Concluding Remarks.