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Machine Learning in Team Sports = Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Machine Learning in Team Sports/ by Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah.
Reminder of title:	Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw /
Author:	Muazu Musa, Rabiu.
other author:	P.P. Abdul Majeed, Anwar.
Description:	X, 61 p. 26 illus., 24 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-981-15-3219-1
ISBN:	9789811532191

Machine Learning in Team Sports = Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw /
Muazu Musa, Rabiu.

Machine Learning in Team SportsPerformance Analysis and Talent Identification in Beach Soccer & Sepak-takraw /[electronic resource] :by Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah. - 1st ed. 2020. - X, 61 p. 26 illus., 24 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.

An Overview of Beach Soccer, Sepak Takraw and the Application of Machine Learning in Team Sports -- Key performance indicators in elite beach soccer -- Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer -- Identifying talent in sepak takraw via Anthropometry indexes -- Physical fitness parameters in the identification of high potential sepak takraw players -- Relationship between psycho-maturity and performance of sepak takraw -- Concluding Remarks.

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. .

ISBN: 9789811532191

Standard No.: 10.1007/978-981-15-3219-1doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Machine Learning in Team Sports = Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw /
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