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Ata Allah Nadiri

Showing results (1-10 of 25) with videos related to

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Journal of Environmental Management|February 18, 2020
Vulnerability Indexing to Saltwater Intrusion from Models at Two Levels using Artificial Intelligence Multiple Model (AIMM)Marjan Moazamnia, Yousef Hassanzadeh, Ata Allah Nadiri, et al.
Journal of Environmental Management|June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategiesMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment|March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structuresAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management|September 16, 2018
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworksAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
RSC Advances|August 25, 2023
Removal of arsenic with functionalized multi-walled carbon nanotubes (MWCNTs-COOH) using the magnetic method (Fe<sub>3</sub>O<sub>4</sub>) from aqueous solutionsMasoumeh Khorasani Alamdari, Ata Allah Nadiri, Hossein Ghaforian, et al.
Environmental Science and Pollution Research International|February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic modelsAta Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|April 14, 2018
Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'Ata Allah Nadiri, Sina Sadeghfam, Maryam Gharekhani, et al.
Environmental Pollution (Barking, Essex : 1987)|March 30, 2022
Formulating Convolutional Neural Network for mapping total aquifer vulnerability to pollutionAta Allah Nadiri, Marjan Moazamnia, Sina Sadeghfam, et al.
Scientific Reports|May 18, 2022
Investigating meteorological/groundwater droughts by copula to study anthropogenic impactsSina Sadeghfam, Rasa Mirahmadi, Rahman Khatibi, et al.
The Science of the Total Environment|July 27, 2018
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFTAta Allah Nadiri, Zeynab Taheri, Rahman Khatibi, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Journal of Environmental Management|February 18, 2020
Vulnerability Indexing to Saltwater Intrusion from Models at Two Levels using Artificial Intelligence Multiple Model (AIMM)Marjan Moazamnia, Yousef Hassanzadeh, Ata Allah Nadiri, et al.
Journal of Environmental Management|June 15, 2021
An investigation into time-variant subsidence potentials using inclusive multiple modelling strategiesMaryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
The Science of the Total Environment|March 26, 2017
Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structuresAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
Journal of Environmental Management|September 16, 2018
Mapping specific vulnerability of multiple confined and unconfined aquifers by using artificial intelligence to learn from multiple DRASTIC frameworksAta Allah Nadiri, Zahra Sedghi, Rahman Khatibi, et al.
RSC Advances|August 25, 2023
Removal of arsenic with functionalized multi-walled carbon nanotubes (MWCNTs-COOH) using the magnetic method (Fe<sub>3</sub>O<sub>4</sub>) from aqueous solutionsMasoumeh Khorasani Alamdari, Ata Allah Nadiri, Hossein Ghaforian, et al.
Environmental Science and Pollution Research International|February 15, 2017
Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic modelsAta Allah Nadiri, Maryam Gharekhani, Rahman Khatibi, et al.
Journal of Environmental Management|April 14, 2018
Introducing the risk aggregation problem to aquifers exposed to impacts of anthropogenic and geogenic origins on a modular basis using 'risk cells'Ata Allah Nadiri, Sina Sadeghfam, Maryam Gharekhani, et al.
Environmental Pollution (Barking, Essex : 1987)|March 30, 2022
Formulating Convolutional Neural Network for mapping total aquifer vulnerability to pollutionAta Allah Nadiri, Marjan Moazamnia, Sina Sadeghfam, et al.
Scientific Reports|May 18, 2022
Investigating meteorological/groundwater droughts by copula to study anthropogenic impactsSina Sadeghfam, Rasa Mirahmadi, Rahman Khatibi, et al.
The Science of the Total Environment|July 27, 2018
Introducing a new framework for mapping subsidence vulnerability indices (SVIs): ALPRIFTAta Allah Nadiri, Zeynab Taheri, Rahman Khatibi, et al.
Pageof 3