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Himan Shahabi

Showing results (11-20 of 24) with videos related to

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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|June 15, 2018
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, ChinaWei Chen, Jianbing Peng, Haoyuan Hong, 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.
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.
The Science of the Total Environment|November 17, 2019
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methodsWei Chen, Yang Li, Weifeng Xue, 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.
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.
International Journal of Environmental Research and Public Health|June 18, 2020
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM<sup>+</sup> ImagesViet-Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
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|June 15, 2018
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, ChinaWei Chen, Jianbing Peng, Haoyuan Hong, 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.
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.
The Science of the Total Environment|November 17, 2019
Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methodsWei Chen, Yang Li, Weifeng Xue, 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.
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.
International Journal of Environmental Research and Public Health|June 18, 2020
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM<sup>+</sup> ImagesViet-Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Pageof 3