El Marhraoui, Y.; Amroun, H.; Boukallel, M.; Anastassova, M.; Lamy, S.; Bouilland, S.; Ammi, M.
Foot-to-Ground Phases Detection: A Comparison of Data Representation Formatting Methods with Respect to Adaption of Deep Learning Architectures. Computers 2022, 11, 58.
https://doi.org/10.3390/computers11050058
AMA Style
El Marhraoui Y, Amroun H, Boukallel M, Anastassova M, Lamy S, Bouilland S, Ammi M.
Foot-to-Ground Phases Detection: A Comparison of Data Representation Formatting Methods with Respect to Adaption of Deep Learning Architectures. Computers. 2022; 11(5):58.
https://doi.org/10.3390/computers11050058
Chicago/Turabian Style
El Marhraoui, Youness, Hamdi Amroun, Mehdi Boukallel, Margarita Anastassova, Sylvie Lamy, Stéphane Bouilland, and Mehdi Ammi.
2022. "Foot-to-Ground Phases Detection: A Comparison of Data Representation Formatting Methods with Respect to Adaption of Deep Learning Architectures" Computers 11, no. 5: 58.
https://doi.org/10.3390/computers11050058
APA Style
El Marhraoui, Y., Amroun, H., Boukallel, M., Anastassova, M., Lamy, S., Bouilland, S., & Ammi, M.
(2022). Foot-to-Ground Phases Detection: A Comparison of Data Representation Formatting Methods with Respect to Adaption of Deep Learning Architectures. Computers, 11(5), 58.
https://doi.org/10.3390/computers11050058
