A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition
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Jahangir, F.; Khan, M.A.; Alhaisoni, M.; Alqahtani, A.; Alsubai, S.; Sha, M.; Al Hejaili, A.; Cha, J.-h. A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition. Sensors 2023, 23, 2754. https://doi.org/10.3390/s23052754
Jahangir F, Khan MA, Alhaisoni M, Alqahtani A, Alsubai S, Sha M, Al Hejaili A, Cha J-h. A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition. Sensors. 2023; 23(5):2754. https://doi.org/10.3390/s23052754
Chicago/Turabian StyleJahangir, Faiza, Muhammad Attique Khan, Majed Alhaisoni, Abdullah Alqahtani, Shtwai Alsubai, Mohemmed Sha, Abdullah Al Hejaili, and Jae-hyuk Cha. 2023. "A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition" Sensors 23, no. 5: 2754. https://doi.org/10.3390/s23052754
APA StyleJahangir, F., Khan, M. A., Alhaisoni, M., Alqahtani, A., Alsubai, S., Sha, M., Al Hejaili, A., & Cha, J.-h. (2023). A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton–Raphson-Based Feature Selection Approach for Human Gait Recognition. Sensors, 23(5), 2754. https://doi.org/10.3390/s23052754