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Environmental Science and Pollution Research International
|
November 23, 2023
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad G Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Chemosphere
|
September 23, 2022
Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran
Ata Allah Nadiri, Fariba Sadeghi Aghdam, Siamak Razzagh, et al.
Ground Water
|
June 21, 2019
Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones
Rahim Barzegar, Asghar Asghari Moghaddam, Shahrokh Norallahi, et al.
Journal of Environmental Management
|
January 30, 2023
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Environmental Science and Pollution Research International
|
August 28, 2023
A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India
Murugesan Bagyaraj, Venkatramanan Senapathi, Sang Yong Chung, et al.
Ground Water
|
November 19, 2019
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
Khabat Khosravi, Rahim Barzegar, Shaghayegh Miraki, et al.
Journal of Contaminant Hydrology
|
July 17, 2025
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater
Ali Asghar Rostami, Zahra Sedghi, Ata Allah Nadiri, et al.
Environmental Science and Pollution Research International
|
October 11, 2020
Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms
Maryam Naghdizadegan Jahromi, Zinat Gomeh, Gianluigi Busico, et al.
Journal of Contaminant Hydrology
|
June 20, 2021
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Khabat Khosravi, Rahim Barzegar, Ali Golkarian, et al.
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of 2
Search research articles
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Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
Environmental Science and Pollution Research International
|
November 23, 2023
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Mohammad G Zamani, Mohammad Reza Nikoo, Sina Jahanshahi, et al.
Chemosphere
|
September 23, 2022
Using a soft computing OSPRC risk framework to analyze multiple contaminants from multiple sources; a case study from Khoy Plain, NW Iran
Ata Allah Nadiri, Fariba Sadeghi Aghdam, Siamak Razzagh, et al.
Ground Water
|
June 21, 2019
Modification of the DRASTIC Framework for Mapping Groundwater Vulnerability Zones
Rahim Barzegar, Asghar Asghari Moghaddam, Shahrokh Norallahi, et al.
Journal of Environmental Management
|
January 30, 2023
Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
Maryam Gharekhani, Ata Allah Nadiri, Rahman Khatibi, et al.
Environmental Science and Pollution Research International
|
August 28, 2023
A geospatial approach for assessing urban flood risk zones in Chennai, Tamil Nadu, India
Murugesan Bagyaraj, Venkatramanan Senapathi, Sang Yong Chung, et al.
Ground Water
|
November 19, 2019
Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
Khabat Khosravi, Rahim Barzegar, Shaghayegh Miraki, et al.
Journal of Contaminant Hydrology
|
July 17, 2025
Harnessing deep learning for fusion-based heavy metal contamination index prediction in groundwater
Ali Asghar Rostami, Zahra Sedghi, Ata Allah Nadiri, et al.
Environmental Science and Pollution Research International
|
October 11, 2020
Developing a SINTACS-based method to map groundwater multi-pollutant vulnerability using evolutionary algorithms
Maryam Naghdizadegan Jahromi, Zinat Gomeh, Gianluigi Busico, et al.
Journal of Contaminant Hydrology
|
June 20, 2021
Predictive modeling of selected trace elements in groundwater using hybrid algorithms of iterative classifier optimizer
Khabat Khosravi, Rahim Barzegar, Ali Golkarian, et al.
Page
of 2