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Ataollah Shirzadi

Showing results (1-10 of 15) with videos related to

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Journal of Environmental Management|March 27, 2018
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mappingHossein Shafizadeh-Moghadam, Roozbeh Valavi, Himan Shahabi, et al.
Ecotoxicology and Environmental Safety|February 5, 2022
Predicting sustainable arsenic mitigation using machine learning techniquesSushant K Singh, Robert W Taylor, Biswajeet Pradhan, et al.
The Science of the Total Environment|February 11, 2018
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern IranKhabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of the Total Environment|October 28, 2017
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolutionHaoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
Journal of Environmental Management|July 8, 2019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithmYi Wang, Haoyuan Hong, Wei Chen, et al.
Sensors (Basel, Switzerland)|February 26, 2022
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, IranBahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, et al.
The Science of the Total Environment|April 25, 2020
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learningJie Dou, Ali P Yunus, Abdelaziz Merghadi, et al.
Sensors (Basel, Switzerland)|August 2, 2018
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning AlgorithmsDieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, et al.
International Journal of Environmental Research and Public Health|July 12, 2020
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical EnvironmentViet-Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Scientific Reports|October 20, 2018
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of FloodsDieu Tien Bui, Mahdi Panahi, Himan Shahabi, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Journal of Environmental Management|March 27, 2018
Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mappingHossein Shafizadeh-Moghadam, Roozbeh Valavi, Himan Shahabi, et al.
Ecotoxicology and Environmental Safety|February 5, 2022
Predicting sustainable arsenic mitigation using machine learning techniquesSushant K Singh, Robert W Taylor, Biswajeet Pradhan, et al.
The Science of the Total Environment|February 11, 2018
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern IranKhabat Khosravi, Binh Thai Pham, Kamran Chapi, et al.
The Science of the Total Environment|October 28, 2017
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolutionHaoyuan Hong, Mahdi Panahi, Ataollah Shirzadi, et al.
Journal of Environmental Management|July 8, 2019
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithmYi Wang, Haoyuan Hong, Wei Chen, et al.
Sensors (Basel, Switzerland)|February 26, 2022
A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, IranBahareh Ghasemian, Himan Shahabi, Ataollah Shirzadi, et al.
The Science of the Total Environment|April 25, 2020
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learningJie Dou, Ali P Yunus, Abdelaziz Merghadi, et al.
Sensors (Basel, Switzerland)|August 2, 2018
Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning AlgorithmsDieu Tien Bui, Himan Shahabi, Ataollah Shirzadi, et al.
International Journal of Environmental Research and Public Health|July 12, 2020
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical EnvironmentViet-Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Scientific Reports|October 20, 2018
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of FloodsDieu Tien Bui, Mahdi Panahi, Himan Shahabi, et al.
Pageof 2