Candela-Leal, M.O.; Gutiérrez-Flores, E.A.; PresbÃtero-Espinosa, G.; Sujatha-Ravindran, A.; RamÃrez-Mendoza, R.A.; Lozoya-Santos, J.d.J.; RamÃrez-Moreno, M.A.
Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers. Appl. Sci. 2022, 12, 5424.
https://doi.org/10.3390/app12115424
AMA Style
Candela-Leal MO, Gutiérrez-Flores EA, PresbÃtero-Espinosa G, Sujatha-Ravindran A, RamÃrez-Mendoza RA, Lozoya-Santos JdJ, RamÃrez-Moreno MA.
Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers. Applied Sciences. 2022; 12(11):5424.
https://doi.org/10.3390/app12115424
Chicago/Turabian Style
Candela-Leal, Milton Osiel, Erick Adrián Gutiérrez-Flores, Gerardo PresbÃtero-Espinosa, Akshay Sujatha-Ravindran, Ricardo Ambrocio RamÃrez-Mendoza, Jorge de Jesús Lozoya-Santos, and Mauricio Adolfo RamÃrez-Moreno.
2022. "Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers" Applied Sciences 12, no. 11: 5424.
https://doi.org/10.3390/app12115424
APA Style
Candela-Leal, M. O., Gutiérrez-Flores, E. A., PresbÃtero-Espinosa, G., Sujatha-Ravindran, A., RamÃrez-Mendoza, R. A., Lozoya-Santos, J. d. J., & RamÃrez-Moreno, M. A.
(2022). Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers. Applied Sciences, 12(11), 5424.
https://doi.org/10.3390/app12115424
