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Modeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian Optimization

dc.contributor.authorAlsumaiei, Abdullah A.
dc.date.accessioned2026-08-20T11:06:10Z
dc.date.available2026-08-20T11:06:10Z
dc.date.copyright2025/06/13
dc.date.issued2025
dc.identifier.otherJHYEFF.HEENG-6515.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311694
dc.description.abstractAbstractThis study develops an optimized machine learning-based computational framework for assessing drought conditions in water-scarce regions. The pattern of drought periods is highly non-linear, especially in arid climates, hindering water management ...
dc.publisherAmerican Society of Civil Engineers
dc.titleModeling the Onset of Drought Periods Using Explainable Machine Learning Models Enhanced by Bayesian Optimization
dc.typeJournal Article
dc.journal.volume30
dc.journal.issue4
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/JHYEFF.HEENG-6515
dc.journal.fristpage04025023-1
dc.journal.lastpage04025023-15
dc.page15
dc.treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 004
dc.contenttypeFulltext


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