Cite
A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection.
MLA
Gao, Xingjun, et al. “A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection.” Applied Sciences (2076-3417), vol. 12, no. 18, Sept. 2022, p. 9244. EBSCOhost, https://doi.org/10.3390/app12189244.
APA
Gao, X., Huang, C., Teng, S., & Chen, G. (2022). A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection. Applied Sciences (2076-3417), 12(18), 9244. https://doi.org/10.3390/app12189244
Chicago
Gao, Xingjun, Chuansheng Huang, Shuai Teng, and Gongfa Chen. 2022. “A Deep-Convolutional-Neural-Network-Based Semi-Supervised Learning Method for Anomaly Crack Detection.” Applied Sciences (2076-3417) 12 (18): 9244. doi:10.3390/app12189244.