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Bahram Choubin

Showing results (11-20 of 20) with videos related to

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The Science of the Total Environment|December 17, 2019
Integrated machine learning methods with resampling algorithms for flood susceptibility predictionEsmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, et al.
The Science of the Total Environment|February 13, 2019
A novel machine learning-based approach for the risk assessment of nitrate groundwater contaminationFarzaneh Sajedi-Hosseini, Arash Malekian, Bahram Choubin, et al.
The Science of the Total Environment|August 9, 2019
A novel bias correction framework of TMPA 3B42 daily precipitation data using similarity matrix/homogeneous conditionsBahram Choubin, Shahram Khalighi-Sigaroodi, Ashok Mishra, et al.
Environmental Science and Pollution Research International|October 25, 2020
Susceptibility mapping of groundwater salinity using machine learning modelsAmirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, et al.
Environmental Research|October 3, 2019
Earth fissure hazard prediction using machine learning modelsBahram Choubin, Amir Mosavi, Esmail Heydari Alamdarloo, et al.
Scientific Reports|April 16, 2021
Fuzzy clustering and distributed model for streamflow estimation in ungauged watershedsAmirhosein Mosavi, Mohammad Golshan, Bahram Choubin, et al.
Journal of Environmental Management|November 23, 2018
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteriaHossein Alilou, Omid Rahmati, Vijay P Singh, et al.
The Science of the Total Environment|July 24, 2021
Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid regionJoy Bhattacharjee, Mehedi Rabbil, Nasim Fazel, et al.
Scientific Data|October 31, 2025
A Dataset of Water Stable Isotopes in Iran's Main AquifersOmid Karimi, Roohollah Noori, Saman Javadi, et al.
The Science of the Total Environment|July 1, 2019
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methodsOmid Rahmati, Bahram Choubin, Abolhasan Fathabadi, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
The Science of the Total Environment|December 17, 2019
Integrated machine learning methods with resampling algorithms for flood susceptibility predictionEsmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, et al.
The Science of the Total Environment|February 13, 2019
A novel machine learning-based approach for the risk assessment of nitrate groundwater contaminationFarzaneh Sajedi-Hosseini, Arash Malekian, Bahram Choubin, et al.
The Science of the Total Environment|August 9, 2019
A novel bias correction framework of TMPA 3B42 daily precipitation data using similarity matrix/homogeneous conditionsBahram Choubin, Shahram Khalighi-Sigaroodi, Ashok Mishra, et al.
Environmental Science and Pollution Research International|October 25, 2020
Susceptibility mapping of groundwater salinity using machine learning modelsAmirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, et al.
Environmental Research|October 3, 2019
Earth fissure hazard prediction using machine learning modelsBahram Choubin, Amir Mosavi, Esmail Heydari Alamdarloo, et al.
Scientific Reports|April 16, 2021
Fuzzy clustering and distributed model for streamflow estimation in ungauged watershedsAmirhosein Mosavi, Mohammad Golshan, Bahram Choubin, et al.
Journal of Environmental Management|November 23, 2018
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteriaHossein Alilou, Omid Rahmati, Vijay P Singh, et al.
The Science of the Total Environment|July 24, 2021
Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid regionJoy Bhattacharjee, Mehedi Rabbil, Nasim Fazel, et al.
Scientific Data|October 31, 2025
A Dataset of Water Stable Isotopes in Iran's Main AquifersOmid Karimi, Roohollah Noori, Saman Javadi, et al.
The Science of the Total Environment|July 1, 2019
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methodsOmid Rahmati, Bahram Choubin, Abolhasan Fathabadi, et al.
Pageof 2