Girka, A, Kulmala, J.-P & Äyrämö, S. (2020). Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity. Computer Methods in Biomechanics and Biomedical Engineering, 23 (14), 1052-1059. Zugriff am 18.01.2021 unter https://doi.org/10.1080/10255842.2020.1786072
APA-Zitierstil (7. Ausg.)Girka, A., Kulmala, J., & Äyrämö, S. (2020). Deep learning approach for prediction of impact peak appearance at ground reaction force signal of running activity. Computer Methods in Biomechanics and Biomedical Engineering, 23(14), 1052-1059.
Chicago-Zitierstil (17. Ausg.)Girka, A., J.-P Kulmala, und S. Äyrämö. "Deep Learning Approach for Prediction of Impact Peak Appearance at Ground Reaction Force Signal of Running Activity." Computer Methods in Biomechanics and Biomedical Engineering 23, no. 14 (2020): 1052-1059.
MLA-Zitierstil (9. Ausg.)Girka, A., et al. "Deep Learning Approach for Prediction of Impact Peak Appearance at Ground Reaction Force Signal of Running Activity." Computer Methods in Biomechanics and Biomedical Engineering, vol. 23, no. 14, 2020, pp. 1052-1059.