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Rockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection

dc.contributor.authorSu, Guoshao
dc.contributor.authorHuang, Weijie
dc.contributor.authorLi, Chongjin
dc.contributor.authorHuang, Xiaojie
dc.date.accessioned2026-08-20T21:23:00Z
dc.date.available2026-08-20T21:23:00Z
dc.date.copyright2025/09/02
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6268.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314369
dc.description.abstractAbstractA Rockfall-You Only Look Once (YOLO) deep learning model is proposed in this study for rockfall detection to overcome the problems of current rockfall object detection models, such as the low detection accuracy of motion targets with blurred ...
dc.publisherAmerican Society of Civil Engineers
dc.titleRockfall-YOLO Deep Learning Model for Rockfall Motion Object Detection
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6268
dc.journal.fristpage04025104-1
dc.journal.lastpage04025104-18
dc.page18
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


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