Predicting Performance and Functional Reserves of Athletes Based on Their Pulse Indicators in Different Trainings

Author:

Epanchintseva Alina,Bakaev MaximORCID

Publisher

Springer Nature Switzerland

Reference11 articles.

1. Kulikov, I.A.: Planning of training in sport running. In: Proceedings of International Conference on Research-Intensive Technologies and Innovations, pp. 198–202. Belgorod (2016) (in Russian)

2. Lotfi, S.: Machine learning for sport results prediction using algorithms. Int. J. Inf. Technol. Appl. Sci. 3(3), 148–155 (2021)

3. Prasetio, D.: Predicting football match results with logistic regression. In: IEEE International Conference on Advanced Informatics: Concepts, Theory and Application (ICAICTA), pp. 1–5 (2016)

4. Horvat, T., Job, J.: The use of machine learning in sport outcome prediction: a review. Wiley Interdiscip. Rev.: Data Min. Knowl. Discov. 10(5), e1380 (2020)

5. Rudrapal, D., et al.: A deep learning approach to predict football match result. In: Computational Intelligence in Data Mining, pp. 93–99 (2020)

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