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Bahram Choubin

Showing results (1-10 of 20) with videos related to

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The Science of the Total Environment|October 6, 2017
River suspended sediment modelling using the CART model: A comparative study of machine learning techniquesBahram Choubin, Hamid Darabi, Omid Rahmati, et al.
Journal of Environmental Management|July 30, 2023
Scrutinization of land subsidence rate using a supportive predictive model: Incorporating radar interferometry and ensemble soft-computingBahram Choubin, Kourosh Shirani, Farzaneh Sajedi Hosseini, et al.
The Science of the Total Environment|April 11, 2023
Mapping of salty aeolian dust-source potential areas: Ensemble model or benchmark models?Bahram Choubin, Farzaneh Sajedi Hosseini, Omid Rahmati, et al.
Environmental Science and Pollution Research International|July 2, 2021
Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theoriesFarzaneh Sajedi Hosseini, Shahram Khalighi Sigaroodi, Ali Salajegheh, et al.
Scientific Reports|October 28, 2020
Mass wasting susceptibility assessment of snow avalanches using machine learning modelsBahram Choubin, Moslem Borji, Farzaneh Sajedi Hosseini, et al.
The Science of the Total Environment|October 16, 2018
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machinesBahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
Ground Water|September 21, 2022
Susceptibility Assessment of Groundwater Nitrate Contamination Using an Ensemble Machine Learning ApproachFarzaneh Sajedi Hosseini, Bahram Choubin, Mehdi Bagheri-Gavkosh, et al.
The Science of the Total Environment|December 11, 2019
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection methodFarzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, et al.
The Science of the Total Environment|November 10, 2019
Spatial hazard assessment of the PM10 using machine learning models in Barcelona, SpainBahram Choubin, Mahsa Abdolshahnejad, Ehsan Moradi, et al.
Environmental Monitoring and Assessment|November 14, 2020
Newly explored machine learning model for river flow time series forecasting at Mary River, AustraliaFang Cui, Sinan Q Salih, Bahram Choubin, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
The Science of the Total Environment|October 6, 2017
River suspended sediment modelling using the CART model: A comparative study of machine learning techniquesBahram Choubin, Hamid Darabi, Omid Rahmati, et al.
Journal of Environmental Management|July 30, 2023
Scrutinization of land subsidence rate using a supportive predictive model: Incorporating radar interferometry and ensemble soft-computingBahram Choubin, Kourosh Shirani, Farzaneh Sajedi Hosseini, et al.
The Science of the Total Environment|April 11, 2023
Mapping of salty aeolian dust-source potential areas: Ensemble model or benchmark models?Bahram Choubin, Farzaneh Sajedi Hosseini, Omid Rahmati, et al.
Environmental Science and Pollution Research International|July 2, 2021
Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theoriesFarzaneh Sajedi Hosseini, Shahram Khalighi Sigaroodi, Ali Salajegheh, et al.
Scientific Reports|October 28, 2020
Mass wasting susceptibility assessment of snow avalanches using machine learning modelsBahram Choubin, Moslem Borji, Farzaneh Sajedi Hosseini, et al.
The Science of the Total Environment|October 16, 2018
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machinesBahram Choubin, Ehsan Moradi, Mohammad Golshan, et al.
Ground Water|September 21, 2022
Susceptibility Assessment of Groundwater Nitrate Contamination Using an Ensemble Machine Learning ApproachFarzaneh Sajedi Hosseini, Bahram Choubin, Mehdi Bagheri-Gavkosh, et al.
The Science of the Total Environment|December 11, 2019
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection methodFarzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, et al.
The Science of the Total Environment|November 10, 2019
Spatial hazard assessment of the PM10 using machine learning models in Barcelona, SpainBahram Choubin, Mahsa Abdolshahnejad, Ehsan Moradi, et al.
Environmental Monitoring and Assessment|November 14, 2020
Newly explored machine learning model for river flow time series forecasting at Mary River, AustraliaFang Cui, Sinan Q Salih, Bahram Choubin, et al.
Pageof 2