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contributor authorWang, Junling
contributor authorCui, Zetong
contributor authorWang, Honghong
contributor authorWang, Chenchen
contributor authorLiu, Yanhong
contributor authorZhang, Xianguo
contributor authorHuang, Jinyu
date accessioned2026-08-20T12:05:42Z
date available2026-08-20T12:05:42Z
date copyright2025/10/22
date issued2026
identifier otherJPSEA2.PSENG-1907.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313089
description abstractAbstractThis work redefined and categorized the drainage pipe defect classification method in China through the lens of computer vision interpretation, addressing the inefficiencies and excessive costs associated with existing methodologies. Based on this,...
publisherAmerican Society of Civil Engineers
titleDrainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW
typeJournal Article
journal volume17
journal issue1
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/JPSEA2.PSENG-1907
journal fristpage04025104-1
journal lastpage04025104-13
page13
treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
contenttypeFulltext


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