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dc.contributor.authorAlsumaiei, Abdullah A.
dc.date.accessioned2026-08-20T11:07:09Z
dc.date.available2026-08-20T11:07:09Z
dc.date.copyright2025/08/30
dc.date.issued2025
dc.identifier.otherJHYEFF.HEENG-6640.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311717
dc.description.abstractAbstractThe forecasting of pan evaporation has improved with the advancement of machine learning (ML) models. However, many existing approaches suffer from limited interpretability and uncertain transferability, limiting their practical value in water ...
dc.publisherAmerican Society of Civil Engineers
dc.titleDeveloping Interpretable Pan Evaporation Forecasting Models for Wafra Agricultural Basin Based on Optimized Decision Tree Ensembles
dc.typeJournal Article
dc.journal.volume30
dc.journal.issue6
dc.journal.titleJournal of Hydrologic Engineering
dc.identifier.doi10.1061/JHYEFF.HEENG-6640
dc.journal.fristpage04025037-1
dc.journal.lastpage04025037-15
dc.page15
dc.treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006
dc.contenttypeFulltext


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