Predicting the number of dusty days around the desert wetlands in southeastern Iran using feature selection and machine learning techniques
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DOI: 10.1016/j.ecolind.2021.107499
Abstract: Abstract 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… read more here.
Keywords: machine; machine learning; dusty days; southeastern iran ... See more keywords