Uddin, M. Z., Seeberg, T. M., Kocbach, J, Liverud, A. E., Gonzalez, V, Sandbakk, Ø & Meyer, F. (2021). Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating. Sensors, 21 (19), 6500. Zugriff am 14.02.2022 unter https://www.mdpi.com/1424-8220/21/19/6500
APA-Zitierstil (7. Ausg.)Uddin, M. Z., Seeberg, T. M., Kocbach, J., Liverud, A. E., Gonzalez, V., Sandbakk, Ø., & Meyer, F. (2021). Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating. Sensors, 21(19), 6500.
Chicago-Zitierstil (17. Ausg.)Uddin, M. Z., T. M. Seeberg, J. Kocbach, A. E. Liverud, V. Gonzalez, Ø Sandbakk, und F. Meyer. "Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating." Sensors 21, no. 19 (2021): 6500.
MLA-Zitierstil (9. Ausg.)Uddin, M. Z., et al. "Estimation of Mechanical Power Output Employing Deep Learning on Inertial Measurement Data in Roller Ski Skating." Sensors, vol. 21, no. 19, 2021, p. 6500.