Alsaadi, Z.; Alshamani, E.; Alrehaili, M.; Alrashdi, A.A.D.; Albelwi, S.; Elfaki, A.O.
A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture. Computers 2022, 11, 78.
https://doi.org/10.3390/computers11050078
AMA Style
Alsaadi Z, Alshamani E, Alrehaili M, Alrashdi AAD, Albelwi S, Elfaki AO.
A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture. Computers. 2022; 11(5):78.
https://doi.org/10.3390/computers11050078
Chicago/Turabian Style
Alsaadi, Zaran, Easa Alshamani, Mohammed Alrehaili, Abdulmajeed Ayesh D. Alrashdi, Saleh Albelwi, and Abdelrahman Osman Elfaki.
2022. "A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture" Computers 11, no. 5: 78.
https://doi.org/10.3390/computers11050078
APA Style
Alsaadi, Z., Alshamani, E., Alrehaili, M., Alrashdi, A. A. D., Albelwi, S., & Elfaki, A. O.
(2022). A Real Time Arabic Sign Language Alphabets (ArSLA) Recognition Model Using Deep Learning Architecture. Computers, 11(5), 78.
https://doi.org/10.3390/computers11050078