The application of deep learning in pipeline inspection: current status and challenges
Author:
Affiliation:
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, People’s Republic of China
2. Ningbo OPR Offshore Engineering Equipment Co., Ltd, Ningbo, People’s Republic of China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/17445302.2024.2373561
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4. Altabey WA Kouritem SA Abouheaf MI Nahas N. 2022. Research in image processing for pipeline crack detection applications. In: 2022 International Conference on Electrical Computer Communications and Mechatronics Engineering (ICECCME). Maldives. doi:10.1109/ICECCME55909.2022.9988417.
5. Image Quality Assessment by Comparing CNN Features between Images
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