A comprehensive survey of artificial intelligence and cloud computing applications in the sports industry
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-023-03567-3.pdf
Reference78 articles.
1. Chen, C., Li, C., & Duan, Y. (2022). Mobile healthcare data mining for sport item recommendation in edge-cloud collaboration. Wireless Networks. https://doi.org/10.1007/s11276-022-03059-w
2. Araújo, D., Couceiro, M., Seifert, L., Sarmento, H., & Davids, K. (2021). Artificial intelligence in sport performance analysis. Routledge.
3. Hong, F., Wang, L., & Li, C. Z. (2023). Adaptive mobile cloud computing on college physical training education based on virtual reality. Wireless Networks. https://doi.org/10.1007/s11276-023-03450-1
4. Yang, M., & Zhang, S. (2023). Analysis of sports psychological obstacles based on mobile intelligent information system in the era of wireless communication. Wireless Networks. https://doi.org/10.1007/s11276-023-03419-0
5. Nalbant, K. G., & Aydın, S. (2022). Literature review on the relationship between artificial intelligence technologies with digital sports marketing and sports management. Indonesian Journal of Sport Management, 2(2), 135–143.
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1. The “Clockwork” Model for Deployment Technology Innovations in Sports Industry Ecosystem: Holistic Approach;Societies;2024-02-13
2. Correction to: A comprehensive survey of artificial intelligence and cloud computing applications in the sports industry;Wireless Networks;2023-12-29
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