Artificial Intelligence in Talent Identification and Development in Sport
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67256-9_15
Reference78 articles.
1. Ab-Rasid, A. M., Musa, R. M., Abdul-Majeed, A. P. P., Musawi-Maliki, A. B. H., Abdullah, M. R., Razmaan, M. A. M., & Abu-Osman, N. A. A. (2024). Physical fitness and motor ability parameters as predictors for skateboarding performance: A logistic regression modelling analysis. PLoS ONE, 19(2), e0296467. https://doi.org/10.1371/journal.pone.0296467
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3. Atiković, A., Kamenjašević, E., Mujanović, A. N., Užičanin, E., Tabaković, M., & Ćurić, M. (2020). Differences between all-around results in women’s artistic gymnastics and ways of minimizing them. Baltic Journal of Health and Physical Activity, 12(3), 80–91.
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