DVS Edition Citation

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 (7th ed.) Citation

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 Style (17th ed.) Citation

Girka, A., J.-P Kulmala, and 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 (9th ed.) Citation

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.