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eNauka >  Results >  Automated quantification of sewage pipe cracks using deep learning for urban water environment management
Title: Automated quantification of sewage pipe cracks using deep learning for urban water environment management
Authors: Yang, Chenhao; Zheng, Feifei; Kapelan, Zoran; Savic, Dragan; Pan, Gang; Feng, Yu; Ma, Yiyi
Issue Date: 2025
Publication: TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
ISSN: 0886-7798 Tunnelling and Underground Space Technology Search Idenfier
Type: Article
Collation: vol. 155 str. 106195-106195
DOI: 10.1016/j.tust.2024.106195
WoS-ID: 001361337500001
Scopus-ID: 2-s2.0-85209402797
URI: https://enauka.gov.rs/handle/123456789/951068
Project: National Key R&D Program of China [2022YFC3202602]
Natural Science Foundation of Zhejiang Province [LZJWZ23E090009]
National Natural Science Foundation of China [52300122]
European Research Council (ERC) [951424]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21a+M21a+

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