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Mohammadtaghi Avand

Showing results (1-10 of 6) with videos related to

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Journal of Environmental Management|September 23, 2022
Predicting temporal and spatial variability in flood vulnerability and risk of rural communities at the watershed scaleMohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh Lasboyee
Journal of Environmental Management|June 20, 2021
Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learningMohammadtaghi Avand, Ali Nasiri Khiavi, Majid Khazaei, et al.
The Science of the Total Environment|August 8, 2020
GIS-based spatial modeling of snow avalanches using four novel ensemble modelsPeyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
Sensors (Basel, Switzerland)|November 14, 2019
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, AustraliaHejar Shahabi, Ben Jarihani, Sepideh Tavakkoli Piralilou, et al.
Journal of Environmental Management|May 19, 2020
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessmentRomulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Ground Water|March 21, 2021
Groundwater Potential Mapping Using GIS-Based Hybrid Artificial Intelligence MethodsTran Van Phong, Binh Thai Pham, Phan Trong Trinh, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Environmental Management|September 23, 2022
Predicting temporal and spatial variability in flood vulnerability and risk of rural communities at the watershed scaleMohammadtaghi Avand, Hamidreza Moradi, Mehdi Ramazanzadeh Lasboyee
Journal of Environmental Management|June 20, 2021
Determination of flood probability and prioritization of sub-watersheds: A comparison of game theory to machine learningMohammadtaghi Avand, Ali Nasiri Khiavi, Majid Khazaei, et al.
The Science of the Total Environment|August 8, 2020
GIS-based spatial modeling of snow avalanches using four novel ensemble modelsPeyman Yariyan, Mohammadtaghi Avand, Rahim Ali Abbaspour, et al.
Sensors (Basel, Switzerland)|November 14, 2019
A Semi-Automated Object-Based Gully Networks Detection Using Different Machine Learning Models: A Case Study of Bowen Catchment, Queensland, AustraliaHejar Shahabi, Ben Jarihani, Sepideh Tavakkoli Piralilou, et al.
Journal of Environmental Management|May 19, 2020
Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessmentRomulus Costache, Quoc Bao Pham, Mohammadtaghi Avand, et al.
Ground Water|March 21, 2021
Groundwater Potential Mapping Using GIS-Based Hybrid Artificial Intelligence MethodsTran Van Phong, Binh Thai Pham, Phan Trong Trinh, et al.
Pageof 1