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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書目名稱Machine Learning in Team Sports影響因子(影響力)




書目名稱Machine Learning in Team Sports影響因子(影響力)學(xué)科排名




書目名稱Machine Learning in Team Sports網(wǎng)絡(luò)公開度




書目名稱Machine Learning in Team Sports網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning in Team Sports被引頻次




書目名稱Machine Learning in Team Sports被引頻次學(xué)科排名




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書目名稱Machine Learning in Team Sports年度引用學(xué)科排名




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書目名稱Machine Learning in Team Sports讀者反饋學(xué)科排名

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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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