Gentilin, A. (2025). The informative power of heart rate along with machine learning regression models to predict maximal oxygen consumption and maximal workload capacity. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 239 (4), 759-764. Zugriff am 30.01.2026 unter https://doi.org/10.1177/17543371231213904
APA-Zitierstil (7. Ausg.)Gentilin, A. (2025). The informative power of heart rate along with machine learning regression models to predict maximal oxygen consumption and maximal workload capacity. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, 239(4), 759-764.
Chicago-Zitierstil (17. Ausg.)Gentilin, A. "The Informative Power of Heart Rate Along with Machine Learning Regression Models to Predict Maximal Oxygen Consumption and Maximal Workload Capacity." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology 239, no. 4 (2025): 759-764.
MLA-Zitierstil (9. Ausg.)Gentilin, A. "The Informative Power of Heart Rate Along with Machine Learning Regression Models to Predict Maximal Oxygen Consumption and Maximal Workload Capacity." Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 239, no. 4, 2025, pp. 759-764.