Show simple item record

Drainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW

dc.contributor.authorWang, Junling
dc.contributor.authorCui, Zetong
dc.contributor.authorWang, Honghong
dc.contributor.authorWang, Chenchen
dc.contributor.authorLiu, Yanhong
dc.contributor.authorZhang, Xianguo
dc.contributor.authorHuang, Jinyu
dc.date.accessioned2026-08-20T12:05:42Z
dc.date.available2026-08-20T12:05:42Z
dc.date.copyright2025/10/22
dc.date.issued2026
dc.identifier.otherJPSEA2.PSENG-1907.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313089
dc.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,...
dc.publisherAmerican Society of Civil Engineers
dc.titleDrainage Pipe Defect Detection and Effect Analysis Based on Improved YOLOv8_DGW
dc.typeJournal Article
dc.journal.volume17
dc.journal.issue1
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/JPSEA2.PSENG-1907
dc.journal.fristpage04025104-1
dc.journal.lastpage04025104-13
dc.page13
dc.treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
dc.contenttypeFulltext


Files in this item

Thumbnail
Name:
JPSEA2.PSENG-1907.pdf
Size:
2.383Mb
Format:
PDF
View/Open

This item appears in the following Collection(s)

Show simple item record