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Chemosphere
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June 5, 2021
Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models
Bo Ke, Hoang Nguyen, Xuan-Nam Bui, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal
|
July 26, 2022
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models
Chandini P C Senan, R S Ajin, Jean Homian Danumah, et al.
Sensors (Basel, Switzerland)
|
January 7, 2021
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
Romulus Costache, Alireza Arabameri, Thomas Blaschke, et al.
Sensors (Basel, Switzerland)
|
March 28, 2026
Correction: Costache et al. Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. <i>Sensors</i> 2021, <i>21</i>, 280
Romulus Costache, Alireza Arabameri, Thomas Blaschke, et al.
The Science of the Total Environment
|
November 10, 2019
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
Dieu Tien Bui, Nhat-Duc Hoang, Francisco Martínez-Álvarez, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
June 25, 2023
Flood hazard potential evaluation using decision tree state-of-the-art models
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management
|
May 19, 2020
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
Romulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Environmental Geochemistry and Health
|
August 30, 2023
Receptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh
Md Ahosan Habib, Abu Reza Md Towfiqul Islam, Memet Varol, et al.
Journal of Environmental Management
|
December 6, 2023
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Md Mahfuz Alam, Mst Yeasmin Akter, Abu Reza Md Towfiqul Islam, et al.
Marine Pollution Bulletin
|
April 29, 2023
Pollution trends and ecological risks of heavy metal(loid)s in coastal zones of Bangladesh: A chemometric review
Jannatun Nahar Jannat, Md Yousuf Mia, Most Mastura Munia Farjana Jion, et al.
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Search research articles
Search
Showing results (11-20 of 20) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 20 results.
Chemosphere
|
June 5, 2021
Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models
Bo Ke, Hoang Nguyen, Xuan-Nam Bui, et al.
Stochastic Environmental Research and Risk Assessment : Research Journal
|
July 26, 2022
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models
Chandini P C Senan, R S Ajin, Jean Homian Danumah, et al.
Sensors (Basel, Switzerland)
|
January 7, 2021
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors
Romulus Costache, Alireza Arabameri, Thomas Blaschke, et al.
Sensors (Basel, Switzerland)
|
March 28, 2026
Correction: Costache et al. Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. <i>Sensors</i> 2021, <i>21</i>, 280
Romulus Costache, Alireza Arabameri, Thomas Blaschke, et al.
The Science of the Total Environment
|
November 10, 2019
A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area
Dieu Tien Bui, Nhat-Duc Hoang, Francisco Martínez-Álvarez, et al.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|
June 25, 2023
Flood hazard potential evaluation using decision tree state-of-the-art models
Romulus Costache, Alireza Arabameri, Iulia Costache, et al.
Journal of Environmental Management
|
May 19, 2020
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment
Romulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Environmental Geochemistry and Health
|
August 30, 2023
Receptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh
Md Ahosan Habib, Abu Reza Md Towfiqul Islam, Memet Varol, et al.
Journal of Environmental Management
|
December 6, 2023
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Md Mahfuz Alam, Mst Yeasmin Akter, Abu Reza Md Towfiqul Islam, et al.
Marine Pollution Bulletin
|
April 29, 2023
Pollution trends and ecological risks of heavy metal(loid)s in coastal zones of Bangladesh: A chemometric review
Jannatun Nahar Jannat, Md Yousuf Mia, Most Mastura Munia Farjana Jion, et al.
Page
of 2