APA (7th ed.) Citation

Vu, H. T. T., Gomez, F., Cherelle, P., Lefeber, D., Nowé, A., & Vanderborght, B. (2018). ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses. Sensors (Basel, Switzerland), 18(7), 2389. https://doi.org/10.3390/s18072389

Chicago Style (17th ed.) Citation

Vu, Huong Thi Thu, Felipe Gomez, Pierre Cherelle, Dirk Lefeber, Ann Nowé, and Bram Vanderborght. "ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses." Sensors (Basel, Switzerland) 18, no. 7 (2018): 2389. https://doi.org/10.3390/s18072389.

MLA (9th ed.) Citation

Vu, Huong Thi Thu, et al. "ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses." Sensors (Basel, Switzerland), vol. 18, no. 7, 2018, p. 2389, https://doi.org/10.3390/s18072389.