Search Results - "Azizi, Kamran" :: K.UTB vyhledávací portál

Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data

by Saidi, Sanaz, Ayoubi, Shamsollah, Shirvani, Mehran, Azizi, Kamran, Zeraatpisheh, Mojtaba
Published in Sensors (Basel, Switzerland) (01.09.2022)

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Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms

by Saidi, Sanaz, Ayoubi, Shamsollah, Shirvani, Mehran, Azizi, Kamran, Zhao, Shuai
Published in International journal of digital earth (31.12.2023)

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Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran

by Azizi, Kamran, Ayoubi, Shamsollah, Nabiollahi, Kamal, Garosi, Younes, Gislum, Rene
Published in Journal of geochemical exploration (01.02.2022)

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$Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran$

Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran

by Azizi, Kamran, Garosi, Younes, Ayoubi, Shamsollah, Tajik, Samaneh
Published in Soil & tillage research (01.05.2023)

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Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis

by Azizi, Kamran, Ayoubi, Shamsollah, Demattê, José A.M.
Published in Journal of applied geophysics (01.03.2023)

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Simulation and determination of hydrodynamic coefficients and aquifer balance with Modflow mathematical model (Case study: Kermanshah Plain)

by Kamran Azizi, Arash Azari, Bahman Farhadi Bansouleh
Published in فناوری‌های پیشرفته در بهره‌وری آب (01.02.2023)

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Journal Article

Comparison of Different Machine Learning Methods for Predicting Cation Exchange Capacity Using Environmental and Remote Sensing Data

Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms

Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran

Integration of Sentinel-1/2 and topographic attributes to predict the spatial distribution of soil texture fractions in some agricultural soils of western Iran

Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis

Simulation and determination of hydrodynamic coefficients and aquifer balance with Modflow mathematical model (Case study: Kermanshah Plain)

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