Machine Learning in Elite Volleyball

Chapter 1. Nature of Volleyball Sport, Performance Analysis in Volleyball, and the Recent Advances of Machine Learning Application in Sports.- Chapter 2. The Effect of Competition strategies in influencing Volleyball performance.- Chapter 3. Identification of psychological training strategies essential for Volleyball performance.- Chapter 4. The Strategic competitional elements contributing to Volleyball performance.- Chapter 5. Anthropometric variables in the identification of high-performance Volleyball players.- Chapter 6. Performance Indicators predicting medalists and non-medalists in elite men Volleyball competition.- Chapter 7. Summary, Conclusion and Future Direction.

Dr. Rabiu Muazu Musa holds a PhD degree from Universiti Sultan Zainal Abidin (UniSZA), Malaysia. He obtained his MSc in Sports Science from UniSZA in 2015 and his BSc in Physical and Health Education at Bayero University Kano, Nigeria in 2011. His PhD research focused on the development of multivariate and machine learning models for athletic performance. His research interests include performance analysis, health promotion, sports psychology, exercise science, talent identification, test, and measurement as well as machine learning. He is currently a senior lecturer at the Centre for Fundamental and Continuing Education, Universiti Malaysia Terengganu.

Dr Anwar P.P. Abdul Majeed graduated with a first-class honours B.Eng. in Mechanical Engineering from Universiti Teknologi MARA (UiTM), Malaysia. He obtained an MSc. in Nuclear Engineering from Imperial College London, United Kingdom. He then received his PhD in Rehabilitation Robotics from the UniversitiMalaysia Pahang (UMP). He is currently serving as a senior lecturer and the Head of Programme (Bachelor of Manufacturing Engineering Technology (Industrial Automation)) at the Faculty of Manufacturing and Mechatronics Engineering Technology, UMP. Dr Anwar is a Chartered Engineer, registered with the Institute of Mechanical Engineers (IMechE), UK, a Member of the Institute of Engineering and Technology (IET), UK as well as a Member of the Institute of Electrical and Electronics Engineers (IEEE). He is an active research member at the Innovative Manufacturing, Mechatronics and Sports Laboratory (iMAMS), UMP. His research interest includes rehabilitation robotics, computational mechanics, applied mechanics, sports engineering, renewable and nuclear energy, sports performance analysis as well as machine learning. He has authored over 60 papers in different journals, conference proceedings as well as books. He serves as a reviewer in a number of prolific journals such as IEEE Access,