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dc.contributor.authorJonnalagadda, Vishnupriya
dc.contributor.authorLee, Ji Yun
dc.contributor.authorSanad, Abdel-Aziz
dc.date.accessioned2026-08-20T21:32:03Z
dc.date.available2026-08-20T21:32:03Z
dc.date.copyright2026/02/25
dc.date.issued2026
dc.identifier.otherAJRUA6.RUENG-1840.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314608
dc.description.abstractAbstractWildfires pose an escalating risk to communities and infrastructure, especially in regions undergoing increased fuel dryness and temperature extremes driven by climate change, as well as continued expansion into the wildland–urban interface. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleCluster-Based Active-Learning Scenario Reduction Framework for Probabilistic Wildfire Risk Assessment
dc.typeJournal Article
dc.journal.volume12
dc.journal.issue2
dc.journal.titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi10.1061/AJRUA6.RUENG-1840
dc.journal.fristpage04026016-1
dc.journal.lastpage04026016-14
dc.page14
dc.treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
dc.contenttypeFulltext


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