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A Novel Noise-Robust and Occlusion-Aware Online Identification Method for Concrete Aggregate Gradation Based on IYOLOv8-seg

dc.contributor.authorCai, Zhijian
dc.contributor.authorWang, Xiaoling
dc.contributor.authorZhang, Jun
dc.contributor.authorWang, Jiajun
dc.contributor.authorYu, Hongling
dc.date.accessioned2026-08-20T21:25:27Z
dc.date.available2026-08-20T21:25:27Z
dc.date.copyright2025/08/13
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6768.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314429
dc.description.abstractAbstractImage-based online aggregate gradation detection provides an essential method for analyzing the mechanical properties of concrete and ensuring quality control. Existing methods based on digital image methods for particle size distribution (PSD) ...
dc.publisherAmerican Society of Civil Engineers
dc.titleA Novel Noise-Robust and Occlusion-Aware Online Identification Method for Concrete Aggregate Gradation Based on IYOLOv8-seg
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6768
dc.journal.fristpage04025096-1
dc.journal.lastpage04025096-21
dc.page21
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


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