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dc.contributor.authorDevkota, Rohan
dc.contributor.authorBhandari, Samip
dc.contributor.authorShakya, Saman
dc.contributor.authorPun, Nischal
dc.contributor.authorSahani, Roshan Kumar
dc.contributor.authorLamsal, Sandesh
dc.contributor.authorPradhananga, Rojee
dc.date.accessioned2026-08-20T20:57:18Z
dc.date.available2026-08-20T20:57:18Z
dc.date.copyright2026/05/13
dc.date.issued2026
dc.identifier.otherJTEPBS.TEENG-9441.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313726
dc.description.abstractAbstractCrash data often suffer from extreme class imbalance with nonfatal crashes vastly outnumbering severe or fatal cases, making it difficult to model rare but critical outcomes. These challenges are further exacerbated in low- and middle-income ...
dc.publisherAmerican Society of Civil Engineers
dc.titleAnalyzing Factors Influencing Crash Severity in the Kathmandu Valley: A Stability Metrics Approach for Imbalanced Crash Data
dc.typeJournal Article
dc.journal.volume152
dc.journal.issue7
dc.journal.titleJournal of Transportation Engineering, Part A: Systems
dc.identifier.doi10.1061/JTEPBS.TEENG-9441
dc.journal.fristpage04026045-1
dc.journal.lastpage04026045-12
dc.page12
dc.treeJournal of Transportation Engineering, Part A: Systems:;2026:;Volume ( 152 ):;issue: 007
dc.contenttypeFulltext


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