Search research articles
Contact Us
Filters
Showing results (41-50 of 122) with videos related to
Page
of 13
Sort By:
Journal of Environmental Management
|
October 27, 2009
Using penalty functions to evaluate aggregation models for environmental indices
Rehan Sadiq, Sikandar A Haji, Geneviève Cool, et al.
Environmental Monitoring and Assessment
|
September 18, 2012
Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques
Getnet D Betrie, Solomon Tesfamariam, Kevin A Morin, et al.
The Science of the Total Environment
|
May 24, 2014
Uncertainty quantification and integration of machine learning techniques for predicting acid rock drainage chemistry: a probability bounds approach
Getnet D Betrie, Rehan Sadiq, Kevin A Morin, et al.
The Science of the Total Environment
|
November 18, 2017
Hazard assessment of hydraulic fracturing chemicals using an indexing method
Guangji Hu, Tianyi Liu, James Hager, et al.
Pakistan Journal of Pharmaceutical Sciences
|
October 13, 2016
Report - Antibacterial activity of sea buckthorn (Hippophae rhamnoides L.) against methicillin resistant Staphylococcus aureus (MRSA)
Muhammad Imran Qadir, Khizar Abbas, Adnan Younus, et al.
The Science of the Total Environment
|
September 8, 2020
Performance indicators for aquatic centres in Canada: Identification and selection using fuzzy based methods
Sana Saleem, Husnain Haider, Guangji Hu, et al.
The Science of the Total Environment
|
July 28, 2020
Investigating the public health risks of low impact developments at residential, neighbourhood, and municipal levels
Sadia Ishaq, Rehan Sadiq, Shaukat Farooq, et al.
Toxicology
|
December 11, 2012
Application of data fusion in human health risk assessment for hydrocarbon mixtures on contaminated sites
Roberta Dyck, M Shafiqul Islam, Amin Zargar, et al.
Environmental Management
|
May 11, 2022
Developing an Integrated "Regression-QMRA method" to Predict Public Health Risks of Low Impact Developments (LIDs) for Improved Planning
Sadia Ishaq, Rehan Sadiq, Gyan Chhipi-Shrestha, et al.
Journal of Hazardous Materials
|
February 21, 2025
Robust prediction of water arsenic levels downstream of gold mines affected by acid mine drainage using hybrid ensemble machine learning and soft computing
Ezzeddin Bakhtavar, Shahab Hosseini, Haroon R Mian, et al.
Page
of 13
Search research articles
Search
Showing results (41-50 of 122) with videos related to
Sort By:
Page
of 13
Journal of Environmental Management
|
October 27, 2009
Using penalty functions to evaluate aggregation models for environmental indices
Rehan Sadiq, Sikandar A Haji, Geneviève Cool, et al.
Environmental Monitoring and Assessment
|
September 18, 2012
Predicting copper concentrations in acid mine drainage: a comparative analysis of five machine learning techniques
Getnet D Betrie, Solomon Tesfamariam, Kevin A Morin, et al.
The Science of the Total Environment
|
May 24, 2014
Uncertainty quantification and integration of machine learning techniques for predicting acid rock drainage chemistry: a probability bounds approach
Getnet D Betrie, Rehan Sadiq, Kevin A Morin, et al.
The Science of the Total Environment
|
November 18, 2017
Hazard assessment of hydraulic fracturing chemicals using an indexing method
Guangji Hu, Tianyi Liu, James Hager, et al.
Pakistan Journal of Pharmaceutical Sciences
|
October 13, 2016
Report - Antibacterial activity of sea buckthorn (Hippophae rhamnoides L.) against methicillin resistant Staphylococcus aureus (MRSA)
Muhammad Imran Qadir, Khizar Abbas, Adnan Younus, et al.
The Science of the Total Environment
|
September 8, 2020
Performance indicators for aquatic centres in Canada: Identification and selection using fuzzy based methods
Sana Saleem, Husnain Haider, Guangji Hu, et al.
The Science of the Total Environment
|
July 28, 2020
Investigating the public health risks of low impact developments at residential, neighbourhood, and municipal levels
Sadia Ishaq, Rehan Sadiq, Shaukat Farooq, et al.
Toxicology
|
December 11, 2012
Application of data fusion in human health risk assessment for hydrocarbon mixtures on contaminated sites
Roberta Dyck, M Shafiqul Islam, Amin Zargar, et al.
Environmental Management
|
May 11, 2022
Developing an Integrated "Regression-QMRA method" to Predict Public Health Risks of Low Impact Developments (LIDs) for Improved Planning
Sadia Ishaq, Rehan Sadiq, Gyan Chhipi-Shrestha, et al.
Journal of Hazardous Materials
|
February 21, 2025
Robust prediction of water arsenic levels downstream of gold mines affected by acid mine drainage using hybrid ensemble machine learning and soft computing
Ezzeddin Bakhtavar, Shahab Hosseini, Haroon R Mian, et al.
Page
of 13