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Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution

INTRODUCTION: This paper aims to identify and compare changes in trends and research interests in soccer articles from before and during the COVID-19 pandemic. METHODS: We compared research interests and trends in soccer-related journal articles published before COVID-19 (2018–2020) and during the C...

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Detalles Bibliográficos
Autores principales: Lee, Jea Woog, Song, Sangmin, Kim, YoungBin, Park, Seung-Bo, Han, Doug Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613686/
https://www.ncbi.nlm.nih.gov/pubmed/37908810
http://dx.doi.org/10.3389/fpsyg.2023.1244404