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dc.contributor.authorOh, Joontaek
dc.contributor.authorJeong, Jaewook
dc.contributor.authorJeong, Jaemin
dc.contributor.authorYun, Bogeon
dc.contributor.authorMun, Hyeongjun
dc.contributor.authorKumi, Louis
dc.date.accessioned2026-08-20T10:52:26Z
dc.date.available2026-08-20T10:52:26Z
dc.date.copyright2025/07/22
dc.date.issued2025
dc.identifier.otherAJRUA6.RUENG-1539.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311381
dc.description.abstractAbstractThe construction industry is currently experiencing increased risks due to the aging workforce. As workers age, their physical capabilities often decline, leading to an increased likelihood of accidents. Despite this known correlation, no ...
dc.publisherAmerican Society of Civil Engineers
dc.titleEstablishment of Risk Management Groups in Construction Based on Workers’ Age and Accident Probability Using Unsupervised Learning
dc.typeJournal Article
dc.journal.volume11
dc.journal.issue4
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.RUENG-1539
dc.journal.fristpage04025055-1
dc.journal.lastpage04025055-15
dc.page15
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004
dc.contenttypeFulltext


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