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contributor authorHou, Jia
contributor authorChen, Wei
contributor authorCai, Lixiong
contributor authorLi, Hang
contributor authorYu, Mingyu
date accessioned2026-08-20T21:28:17Z
date available2026-08-20T21:28:17Z
date copyright2026/02/03
date issued2026
identifier otherJCCEE5.CPENG-7290.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314509
description abstractAbstractThe corrosion segmentation technique powered by deep learning enables early detection and timely intervention, effectively preventing further progression and ensuring the safety and extended service life of steel structures. To address the ...
publisherAmerican Society of Civil Engineers
titleOptimizing Semantic Segmentation of Corrosion Defects with Coordinated Attention and Feature Integration
typeJournal Article
journal volume40
journal issue3
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7290
journal fristpage04026017-1
journal lastpage04026017-15
page15
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003
contenttypeFulltext


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