Begum, N.; Rahman, R.; Jahan, N.; Khan, S.S.; Helaly, T.; Haque, A.; Khatun, N.
Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs. Appl. Sci. 2023, 13, 5219.
https://doi.org/10.3390/app13095219
AMA Style
Begum N, Rahman R, Jahan N, Khan SS, Helaly T, Haque A, Khatun N.
Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs. Applied Sciences. 2023; 13(9):5219.
https://doi.org/10.3390/app13095219
Chicago/Turabian Style
Begum, Nasima, Rashik Rahman, Nusrat Jahan, Saqib Sizan Khan, Tanjina Helaly, Ashraful Haque, and Nipa Khatun.
2023. "Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs" Applied Sciences 13, no. 9: 5219.
https://doi.org/10.3390/app13095219
APA Style
Begum, N., Rahman, R., Jahan, N., Khan, S. S., Helaly, T., Haque, A., & Khatun, N.
(2023). Borno-Net: A Real-Time Bengali Sign-Character Detection and Sentence Generation System Using Quantized Yolov4-Tiny and LSTMs. Applied Sciences, 13(9), 5219.
https://doi.org/10.3390/app13095219
