Machine Learning in Elite Volleyball

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Machine Learning in Elite Volleyball

Integrating Performance Analysis, Competition and Training Strategies

Sports and Active outdoor recreation Artificial intelligence Machine learning

Authors: Rabiu Muazu Musa, Anwar P. P. Abdul Majeed, Muhammad Zuhaili Suhaimi, Mohd Azraai Mohd Razman, Mohamad Razali Abdullah, Noor Azuan Abu Osman

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Collection: SpringerBriefs in Applied Sciences and Technology

Language: English

Published by: Springer

Published on: 18th June 2021

Format: LCP-protected ePub

Size: 2 Mb

ISBN: 9789811631924


Overview

This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport.

Psychological Elements and Performance

Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions.

Performance Indicators

It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players.

Target Audience

The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.

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