Malibari, A.A.; Alzahrani, J.S.; Qahmash, A.; Maray, M.; Alghamdi, M.; Alshahrani, R.; Mohamed, A.; Hilal, A.M.
Quantum Water Strider Algorithm with Hybrid-Deep-Learning-Based Activity Recognition for Human–Computer Interaction. Appl. Sci. 2022, 12, 6848.
https://doi.org/10.3390/app12146848
AMA Style
Malibari AA, Alzahrani JS, Qahmash A, Maray M, Alghamdi M, Alshahrani R, Mohamed A, Hilal AM.
Quantum Water Strider Algorithm with Hybrid-Deep-Learning-Based Activity Recognition for Human–Computer Interaction. Applied Sciences. 2022; 12(14):6848.
https://doi.org/10.3390/app12146848
Chicago/Turabian Style
Malibari, Areej A., Jaber S. Alzahrani, Ayman Qahmash, Mohammed Maray, Mohammed Alghamdi, Reem Alshahrani, Abdullah Mohamed, and Anwer Mustafa Hilal.
2022. "Quantum Water Strider Algorithm with Hybrid-Deep-Learning-Based Activity Recognition for Human–Computer Interaction" Applied Sciences 12, no. 14: 6848.
https://doi.org/10.3390/app12146848
APA Style
Malibari, A. A., Alzahrani, J. S., Qahmash, A., Maray, M., Alghamdi, M., Alshahrani, R., Mohamed, A., & Hilal, A. M.
(2022). Quantum Water Strider Algorithm with Hybrid-Deep-Learning-Based Activity Recognition for Human–Computer Interaction. Applied Sciences, 12(14), 6848.
https://doi.org/10.3390/app12146848
