Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques

In the past decades, some desert wetlands have become critical regions for dust production in the arid and semi-arid regions of the world. Accurate prediction of the number of dusty days (NDDs) in these areas is of great importance. The most popular method for predicting climatic and environmental v...

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Autores principales: Zohre Ebrahimi-Khusfi, Ali Reza Nafarzadegan, Fatemeh Dargahian
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/39ed9e7b457048f5801bb7c97af014ab
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