Cite
Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data.
MLA
Lai, Derek Ka-Hei, et al. “Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data.” Mathematics (2227-7390), vol. 11, no. 14, July 2023, p. 3081. EBSCOhost, https://doi.org/10.3390/math11143081.
APA
Lai, D. K.-H., Cheng, E. S.-W., So, B. P.-H., Mao, Y.-J., Cheung, S. M.-Y., Cheung, D. S. K., Wong, D. W.-C., & Cheung, J. C.-W. (2023). Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data. Mathematics (2227-7390), 11(14), 3081. https://doi.org/10.3390/math11143081
Chicago
Lai, Derek Ka-Hei, Ethan Shiu-Wang Cheng, Bryan Pak-Hei So, Ye-Jiao Mao, Sophia Ming-Yan Cheung, Daphne Sze Ki Cheung, Duo Wai-Chi Wong, and James Chung-Wai Cheung. 2023. “Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data.” Mathematics (2227-7390) 11 (14): 3081. doi:10.3390/math11143081.