Wu, C.-S.; Hao, T.-Q.; Qi, L.-L.; Zhuo, D.-B.; Feng, Z.-Y.; Zhang, J.-Q.; Peng, Y.-X.
Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network. Appl. Sci. 2022, 12, 9840.
https://doi.org/10.3390/app12199840
AMA Style
Wu C-S, Hao T-Q, Qi L-L, Zhuo D-B, Feng Z-Y, Zhang J-Q, Peng Y-X.
Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network. Applied Sciences. 2022; 12(19):9840.
https://doi.org/10.3390/app12199840
Chicago/Turabian Style
Wu, Chuan-Sheng, Tian-Qi Hao, Ling-Ling Qi, De-Bing Zhuo, Zhen-Yang Feng, Jian-Qiang Zhang, and Yang-Xia Peng.
2022. "Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network" Applied Sciences 12, no. 19: 9840.
https://doi.org/10.3390/app12199840
APA Style
Wu, C.-S., Hao, T.-Q., Qi, L.-L., Zhuo, D.-B., Feng, Z.-Y., Zhang, J.-Q., & Peng, Y.-X.
(2022). Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network. Applied Sciences, 12(19), 9840.
https://doi.org/10.3390/app12199840