Abdul, W., Alsulaiman, M., Amin, S. U., Faisal, M., Muhammad, G., Albogamy, F. R., . . . Ghaleb, H. (2021). Intelligent real-time Arabic sign language classification using attention-based inception and BiLSTM. Computers & electrical engineering, 95, 107395. https://doi.org/10.1016/j.compeleceng.2021.107395
Chicago Style (17th ed.) CitationAbdul, Wadood, Mansour Alsulaiman, Syed Umar Amin, Mohammed Faisal, Ghulam Muhammad, Fahad R. Albogamy, Mohamed A. Bencherif, and Hamid Ghaleb. "Intelligent Real-time Arabic Sign Language Classification Using Attention-based Inception and BiLSTM." Computers & Electrical Engineering 95 (2021): 107395. https://doi.org/10.1016/j.compeleceng.2021.107395.
MLA (9th ed.) CitationAbdul, Wadood, et al. "Intelligent Real-time Arabic Sign Language Classification Using Attention-based Inception and BiLSTM." Computers & Electrical Engineering, vol. 95, 2021, p. 107395, https://doi.org/10.1016/j.compeleceng.2021.107395.