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Omid Rahmati

Showing results (11-20 of 20) with videos related to

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The Science of the Total Environment|March 6, 2020
RiMARS: An automated river morphodynamics analysis method based on remote sensing multispectral datasetsAbolfazl Jalali Shahrood, Meseret Walle Menberu, Hamid Darabi, et al.
Journal of Environmental Management|November 23, 2018
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteriaHossein Alilou, Omid Rahmati, Vijay P Singh, et al.
The Science of the Total Environment|June 13, 2020
Identifying sources of dust aerosol using a new framework based on remote sensing and modellingOmid Rahmati, Farnoush Mohammadi, Seid Saeid Ghiasi, et al.
Scientific Reports|October 23, 2020
Assessing the susceptibility of schools to flood events in IranSaleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
The Science of the Total Environment|April 9, 2019
Land subsidence modelling using tree-based machine learning algorithmsOmid Rahmati, Fatemeh Falah, Seyed Amir Naghibi, et al.
The Science of the Total Environment|December 17, 2019
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, AustraliaOmid Rahmati, Mahdi Panahi, Zahra Kalantari, et al.
The Science of the Total Environment|September 16, 2019
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland AustraliaOmid Rahmati, Fatemeh Falah, Kavina Shaanu Dayal, et al.
The Science of the Total Environment|July 1, 2019
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methodsOmid Rahmati, Bahram Choubin, Abolhasan Fathabadi, et al.
The Science of the Total Environment|February 12, 2019
PMT: New analytical framework for automated evaluation of geo-environmental modelling approachesOmid Rahmati, Aiding Kornejady, Mahmood Samadi, et al.
Scientific Reports|August 2, 2020
Development of novel hybridized models for urban flood susceptibility mappingOmid Rahmati, Hamid Darabi, Mahdi Panahi, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
The Science of the Total Environment|March 6, 2020
RiMARS: An automated river morphodynamics analysis method based on remote sensing multispectral datasetsAbolfazl Jalali Shahrood, Meseret Walle Menberu, Hamid Darabi, et al.
Journal of Environmental Management|November 23, 2018
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteriaHossein Alilou, Omid Rahmati, Vijay P Singh, et al.
The Science of the Total Environment|June 13, 2020
Identifying sources of dust aerosol using a new framework based on remote sensing and modellingOmid Rahmati, Farnoush Mohammadi, Seid Saeid Ghiasi, et al.
Scientific Reports|October 23, 2020
Assessing the susceptibility of schools to flood events in IranSaleh Yousefi, Hamid Reza Pourghasemi, Sayed Naeim Emami, et al.
The Science of the Total Environment|April 9, 2019
Land subsidence modelling using tree-based machine learning algorithmsOmid Rahmati, Fatemeh Falah, Seyed Amir Naghibi, et al.
The Science of the Total Environment|December 17, 2019
Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, AustraliaOmid Rahmati, Mahdi Panahi, Zahra Kalantari, et al.
The Science of the Total Environment|September 16, 2019
Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland AustraliaOmid Rahmati, Fatemeh Falah, Kavina Shaanu Dayal, et al.
The Science of the Total Environment|July 1, 2019
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methodsOmid Rahmati, Bahram Choubin, Abolhasan Fathabadi, et al.
The Science of the Total Environment|February 12, 2019
PMT: New analytical framework for automated evaluation of geo-environmental modelling approachesOmid Rahmati, Aiding Kornejady, Mahmood Samadi, et al.
Scientific Reports|August 2, 2020
Development of novel hybridized models for urban flood susceptibility mappingOmid Rahmati, Hamid Darabi, Mahdi Panahi, et al.
Pageof 2