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contributor authorZhang, Xiaoyue
contributor authorWang, Meng
contributor authorLiu, Cheng
contributor authorXu, Huitong
contributor authorYang, Yanze
date accessioned2026-08-20T12:02:45Z
date available2026-08-20T12:02:45Z
date copyright2025/11/29
date issued2026
identifier otherJPEODX.PVENG-1969.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313020
description abstractAbstractIn order to meet the needs of engineering specifications for crack detection and quantitative assessment of rural cement concrete pavements, a method for accurate detection and quantification of cracks is proposed. A deep learning fusion model, ...
publisherAmerican Society of Civil Engineers
titleCrack Detection and Quantification of Rural Cement Concrete Pavements Based on Deep-Learning Fusion Model
typeJournal Article
journal volume152
journal issue1
journal titleJournal of Transportation Engineering, Part B: Pavements
identifier doi10.1061/JPEODX.PVENG-1969
journal fristpage04025062-1
journal lastpage04025062-11
page11
treeJournal of Transportation Engineering, Part B: Pavements:;2026:;Volume ( 152 ):;issue: 001
contenttypeFulltext


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