Explainable artificial intelligence for fitness prediction of young athletes living in unfavorable environmental conditions-Reference-Cited by-同舟云学术

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Explainable artificial intelligence for fitness prediction of young athletes living in unfavorable environmental conditions

Published:2024-09 Issue: Volume:23 Page:102592
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Sandamal Kelum,Arachchi Shanika,Erkudov Valery O.,Rozumbetov Kenjabek U.,Rathnayake Upaka^ORCID

Publisher

Elsevier BV

Reference88 articles.

1. A field-test battery for elite, young soccer players;Hulse;Int. J. Sports Med.,2012

2. Total and regional bone mass in female soccer players;Alfredson;Calcif. Tissue Int.,1996

3. Aerobic fitness of starter and non-starter soccer players in the champion's league;Paraskevas;J. Hum. Kinet.,2018

4. Match running performance of elite soccer players: ℩o2max and players position influences;Metaxas;J. Strength Condit Res.,2021

5. The yo-yo intermittent recovery test: a useful tool for evaluation of physical performance in intermittent sports;Bangsbo;Sports Med.,2008

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1. Advancing water quality assessment and prediction using machine learning models, coupled with explainable artificial intelligence (XAI) techniques like shapley additive explanations (SHAP) for interpreting the black-box nature;Results in Engineering;2024-09

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