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contributor authorLei, Xiaoming
contributor authorSun, Mengjin
contributor authorDong, You
contributor authorFrangopol, Dan M.
date accessioned2026-08-20T21:20:24Z
date available2026-08-20T21:20:24Z
date copyright2025/07/21
date issued2025
identifier otherJBENF2.BEENG-7638.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314312
description abstractAbstract Traditional structural inspection methods, while effective, often fall short in terms of efficiency, coverage, and consistency, thereby highlighting the need for innovative approaches. This paper presents a novel vision-based framework for ...
publisherAmerican Society of Civil Engineers
titlePanoramic Vision–Driven Deep Learning Framework for Structural Inspection and Condition Assessment
typeJournal Article
journal volume30
journal issue10
journal titleJournal of Bridge Engineering
identifier doi10.1061/JBENF2.BEENG-7638
journal fristpage04025061-1
journal lastpage04025061-15
page15
treeJournal of Bridge Engineering:;2025:;Volume ( 030 ):;issue: 010
contenttypeFulltext


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