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2 Xiangxiong Kong, "Vision-Based Fatigue Crack Detection of Steel Structures Using Video Feature Tracking" Wiley 33 (33): 783-799, 2018
3 Chul Min Yeum, "Vision-Based Automated Crack Detection for Bridge Inspection" Wiley 30 (30): 759-770, 2015
4 Simonyan, K., "Very deep convolutional networks for large-scale image recognition"
5 Mukkamala, M. C., "Variants of RMSprop and Adagrad with logarithmic regret bounds" 2545-2553, 2017
6 Abhinav Agrawal, "Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy" Springer Science and Business Media LLC 36 (36): 405-412, 2019
7 Zilong Wang, "Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage" SAGE Publications 20 (20): 406-425, 2020
8 Mohammad R. Jahanshahi, "Unsupervised Approach for Autonomous Pavement-Defect Detection and Quantification Using an Inexpensive Depth Sensor" American Society of Civil Engineers (ASCE) 27 (27): 743-754, 2013
9 Olaf Ronneberger, "U-Net: Convolutional Networks for Biomedical Image Segmentation" Springer International Publishing 234-241, 2015
10 Yuequan Bao, "The State of the Art of Data Science and Engineering in Structural Health Monitoring" Elsevier BV 5 (5): 234-242, 2019
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