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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...
Autores principales: | Lee, Jea Woog, Song, Sangmin, Kim, YoungBin, Park, Seung-Bo, Han, Doug Hyun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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 |
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