Noor, T.H.; Noor, A.; Alharbi, A.F.; Faisal, A.; Alrashidi, R.; Alsaedi, A.S.; Alharbi, G.; Alsanoosy, T.; Alsaeedi, A.
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. Sensors 2024, 24, 3683.
https://doi.org/10.3390/s24113683
AMA Style
Noor TH, Noor A, Alharbi AF, Faisal A, Alrashidi R, Alsaedi AS, Alharbi G, Alsanoosy T, Alsaeedi A.
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. Sensors. 2024; 24(11):3683.
https://doi.org/10.3390/s24113683
Chicago/Turabian Style
Noor, Talal H., Ayman Noor, Ahmed F. Alharbi, Ahmed Faisal, Rakan Alrashidi, Ahmed S. Alsaedi, Ghada Alharbi, Tawfeeq Alsanoosy, and Abdullah Alsaeedi.
2024. "Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model" Sensors 24, no. 11: 3683.
https://doi.org/10.3390/s24113683
APA Style
Noor, T. H., Noor, A., Alharbi, A. F., Faisal, A., Alrashidi, R., Alsaedi, A. S., Alharbi, G., Alsanoosy, T., & Alsaeedi, A.
(2024). Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model. Sensors, 24(11), 3683.
https://doi.org/10.3390/s24113683