Funding for this research was provided by:
Department of Science and Technology, Hubei Provincial People’s Government (2019AAA011)
National Natural Science Foundation of China (51778064)
Article Title: Classification of damage types in liquid-filled buried pipes based on deep learning
Journal Title: Measurement Science and Technology
Article Type: paper
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Publication dates
Date Received: 2022-05-20
Date Accepted: 2022-10-18
Online publication date: 2022-11-10