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dc.contributor.authorJu, Shiyuan
dc.contributor.authorJia, Jinqing
dc.contributor.authorChen, Xiangsheng
dc.contributor.authorBao, Xiaohua
dc.contributor.authorTu, Bingxiong
dc.date.accessioned2026-08-20T21:23:48Z
dc.date.available2026-08-20T21:23:48Z
dc.date.copyright2025/07/30
dc.date.issued2025
dc.identifier.otherJCCEE5.CPENG-6459.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314385
dc.description.abstractAbstractNewmark sliding displacement prediction models have been developed by many researchers to assess the seismic performance of slopes in the region. Recently, machine learning techniques have been applied to improve the accuracy of sliding ...
dc.publisherAmerican Society of Civil Engineers
dc.titleFeature Extraction–Based Prediction Models for Newmark Sliding Displacement of Slopes
dc.typeJournal Article
dc.journal.volume39
dc.journal.issue6
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-6459
dc.journal.fristpage04025089-1
dc.journal.lastpage04025089-14
dc.page14
dc.treeJournal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006
dc.contenttypeFulltext


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