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All issues Volume 216 (2025) SHS Web Conf., 216 (2025) 02006 References
Open Access
Issue
SHS Web Conf.
Volume 216, 2025
International Conference on the Impact of Artificial Intelligence on Traditional Economic Sectors (ICIAITES 2025)
Article Number 02006
Number of page(s) 12
Section Artificial Intelligence and Human-Computer Interaction in Sports, Medicine, and Education
DOI https://doi.org/10.1051/shsconf/202521602006
Published online 23 May 2025
  1. T. Menges, Advancing Endurance Sports with Artificial Intelligence: Application-Focused Perspectives, in Artificial Intelligence in Sports, Movement, and Health (Springer Nature Switzerland, Cham, 2024), pp. 31–48 [Google Scholar]
  2. S. Zhang, The Physical Fitness Video Tracking System of Football Players Based on Artificial Intelligence Algorithm, in Proceedings of the 2022 International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS), July (2022), pp. 131–134 [Google Scholar]
  3. A. Mostafa, M.A. Rushdi, T.A. Basha, K. Sayed, FOOTBALLTrace: An AI-Based System for Football Player Tracking with Occlusion Detection and Trajectory Correction, in icSPORTS (2023), pp. 194–201 [Google Scholar]
  4. D. Haroune, B. Ali, S. Chachou, The relative importance of morphological, physical and skill requirements for selecting talented U13 football players. SPORT TK-Revista EuroAmericana de Ciencias del Deporte, 38–38 (2024). https://doi.org/10.6018/sportk.611651 [CrossRef] [Google Scholar]
  5. K. Rathi, P. Somani, A.V. Koul, K.S. Manu, Applications of artificial intelligence in the game of football: The global perspective. Researchers World, 11(2), 18–29 (2020). http://dx.doi.org/10.18843/rwjasc/v11i2/03 [Google Scholar]
  6. W.Y. Alghamdi, A novel deep learning method for predicting athletes' health using wearable sensors and recurrent neural networks. Decision Analytics Journal, 7, 100213 (2023). https://doi.org/10.1016/j.dajour.2023.100213 [CrossRef] [Google Scholar]
  7. E. Oybek, A. Dilfuza, D. Usmonova, M.G. Abdusamatovna, E.D.B. Ogli, Unlocking the Potential of Blockchain Technology in the Digital Economy: A Comprehensive Analysis of Decentralized Social Networking Platforms, in International Conference on Next Generation Wired/Wireless Networking (Springer Nature Switzerland, Cham, 2023), pp. 355–364 [Google Scholar]
  8. S. Barra, S.M. Carta, A. Giuliani, A. Pisu, A.S. Podda, D. Riboni, FootApp: An AI-powered system for football match annotation. Multimedia Tools and Applications, 82(4), 5547–5567 (2023). https://doi.org/10.1007/s11042-022-13359-0 [CrossRef] [Google Scholar]
  9. A. Diachenko, W. Leibo, G. Lisenchuk, L. Denysova, S. Lysenchuk, Football Players'" Cardiorespiratory System and Intermittent Endurance" Test. Sport Mont, 19 (2021). https://doi.org/10.26773/smj.210905 [Google Scholar]
  10. C. Pu, J. Zhou, J. Sun, J. Zhang, Football player injury full-cycle management and monitoring system based on blockchain and machine learning algorithm. International Journal of Computational Intelligence Systems, 16(1), 41 (2023). https://doi.org/10.1007/s44196-023-00217-6 [CrossRef] [Google Scholar]
  11. X. Wu, C. Liu, L. Wang, M. Bilal, Internet of things-enabled real-time health monitoring system using deep learning. Neural Computing and Applications, 1–12 (2023). https://doi.org/10.1007/s00521-021-06440-6 [Google Scholar]
  12. I. Cruz-Vega, D. Hernandez-Contreras, H. Peregrina-Barreto, J.D.J. Rangel-Magdaleno, J.M. Ramirez-Cortes, Deep learning classification for diabetic foot thermograms. Sensors, 20(6), 1762 (2020). https://doi.org/10.3390/s20061762 [CrossRef] [Google Scholar]
  13. S. Kaur, J. Singla, L. Nkenyereye, S. Jha, D. Prashar, G.P. Joshi, S.R. Islam, Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives. IEEE Access, 8, 228049–228069 (2020). https://doi.org/10.1109/ACCESS.2020.3042273 [CrossRef] [Google Scholar]
  14. A.M. Szulc, P. Prokopowicz, D. Mikołajewski, Use of AI methods to assessment of lower limb peak torque in deaf and hearing football players group. Acta of Bioengineering & Biomechanics, 26(3) (2024). https://doi.org/10.5277/ABB-00907-2017-02 [CrossRef] [Google Scholar]
  15. A. Gálvez, V.S. Chan, S. Pérez-Carabaza, A. Iglesias, Artificial Intelligence and Machine Learning-Based Data Analytics for Sports: General Overview and NBA Case Study, in Artificial Intelligence, Optimization, and Data Sciences in Sports (Springer Nature Switzerland, Cham, 2024), pp. 149–194 [Google Scholar]

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