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Titlebook: Machine Learning in Team Sports; Performance Analysis Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohamad R Book 2020 The Author(s), under exc

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发表于 2025-3-21 16:42:46 | 显示全部楼层 |阅读模式
书目名称Machine Learning in Team Sports
副标题Performance Analysis
编辑Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohamad R
视频video
概述Highlights the application of performance analysis tools in data acquisition, and various ML algorithms for evaluating team performance in sports.Discusses how key performance indicators as well as hu
丛书名称SpringerBriefs in Applied Sciences and Technology
图书封面Titlebook: Machine Learning in Team Sports; Performance Analysis Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohamad R Book 2020 The Author(s), under exc
描述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. 
出版日期Book 2020
关键词Sports performance assessment; Physical fitness parameters; Psycho-maturity in sports; Sports psycholog
版次1
doihttps://doi.org/10.1007/978-981-15-3219-1
isbn_softcover978-981-15-3218-4
isbn_ebook978-981-15-3219-1Series ISSN 2191-530X Series E-ISSN 2191-5318
issn_series 2191-530X
copyrightThe Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Technical and Tactical Performance Indicators Determining Successful and Unsuccessful Team in EliteIt was shown from the study that through the framework provided, the best ANN architecture, as well as performance indicators identified, could yield an average classification accuracy of 92.5% on the validation and test dataset.
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Key Performance Indicators in Elite Beach Soccer,a time, shot at back third, pass at back third, interception, turnover, complete save by the keeper, uncomplete save by the keeper, shot inside a box as well as shot outside box are non-trivial in evaluating the performance of a given team.
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(magnesium (Mg), silicon (Si), copper (Cu), manganese (Mn), zinc (Zn), and zirconium (Zr)) were produced with direct chill casting method as billet form. After casting process homogenization process was applied. Effects of the changes in chemical composition, homogenization time (3, 6, and 10 h), an
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