Machine-learning to see defects: a hybrid attention-ConvLSTM-based convolutional neural network deep learning architecture for structural damage detection.

MLA

Shafiei Dizaji, Mehrdad, and Zhu Mao. “Machine-Learning to See Defects: A Hybrid Attention-ConvLSTM-Based Convolutional Neural Network Deep Learning Architecture for Structural Damage Detection.” Proceedings of SPIE, vol. 12046, Jan. 2022, p. 120460L–120460L–7. EBSCOhost, https://doi.org/10.1117/12.2615542.

APA

Shafiei Dizaji, M., & Mao, Z. (2022). Machine-learning to see defects: a hybrid attention-ConvLSTM-based convolutional neural network deep learning architecture for structural damage detection. Proceedings of SPIE, 12046, 120460L–120460L–7. https://doi.org/10.1117/12.2615542

Chicago

Shafiei Dizaji, Mehrdad, and Zhu Mao. 2022. “Machine-Learning to See Defects: A Hybrid Attention-ConvLSTM-Based Convolutional Neural Network Deep Learning Architecture for Structural Damage Detection.” Proceedings of SPIE 12046 (January): 120460L–120460L–7. doi:10.1117/12.2615542.