Search Results - "AALAMI, Mohammad T."

Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions by KHOSRAVI, Khabat, NGO, Phuong T.T., BARZEGAR, Rahim, QUILTY, John, AALAMI, Mohammad T., BUI, Dieu T.

“…Water infiltration into soil is an important process in hydrologic cycle; however, its measurement is difficult, time-consuming and costly. Empirical and…”
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Multi-step ahead soil temperature forecasting at different depths based on meteorological data: Integrating resampling algorithms and machine learning models by KHOSRAVI, Khabat, GOLKARIAN, Ali, BARZEGAR, Rahim, AALAMI, Mohammad T., HEDDAM, Salim, OMIDVAR, Ebrahim, KEESSTRA, Saskia D., LÓPEZ-VICENTE, Manuel

“…Direct soil temperature (ST) measurement is time-consuming and costly; thus, the use of simple and cost-effective machine learning (ML) tools is helpful. In…”
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