Gao, H.; Zhang, Y.; Lv, W.; Yin, J.; Qasim, T.; Wang, D.
A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images. Appl. Sci. 2022, 12, 6569.
https://doi.org/10.3390/app12136569
AMA Style
Gao H, Zhang Y, Lv W, Yin J, Qasim T, Wang D.
A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images. Applied Sciences. 2022; 12(13):6569.
https://doi.org/10.3390/app12136569
Chicago/Turabian Style
Gao, Hongbin, Ya Zhang, Wenkai Lv, Jiawei Yin, Tehreem Qasim, and Dongyun Wang.
2022. "A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images" Applied Sciences 12, no. 13: 6569.
https://doi.org/10.3390/app12136569
APA Style
Gao, H., Zhang, Y., Lv, W., Yin, J., Qasim, T., & Wang, D.
(2022). A Deep Convolutional Generative Adversarial Networks-Based Method for Defect Detection in Small Sample Industrial Parts Images. Applied Sciences, 12(13), 6569.
https://doi.org/10.3390/app12136569