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contributor authorAlsumaiei, Abdullah A.
date accessioned2026-08-20T11:07:09Z
date available2026-08-20T11:07:09Z
date copyright2025/08/30
date issued2025
identifier otherJHYEFF.HEENG-6640.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311717
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 ...
publisherAmerican Society of Civil Engineers
titleDeveloping Interpretable Pan Evaporation Forecasting Models for Wafra Agricultural Basin Based on Optimized Decision Tree Ensembles
typeJournal Article
journal volume30
journal issue6
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/JHYEFF.HEENG-6640
journal fristpage04025037-1
journal lastpage04025037-15
page15
treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 006
contenttypeFulltext


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