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Dieu Tien Bui

Showing results (1-10 of 44) with videos related to

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The Science of the Total Environment|August 31, 2019
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of RomaniaRomulus Costache, Dieu Tien Bui
The Science of the Total Environment|January 14, 2020
Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensemblesRomulus Costache, Dieu Tien Bui
Sensors (Basel, Switzerland)|October 27, 2019
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy LogicHossein Moayedi, Dieu Tien Bui, Loke Kok Foong
Journal of Environmental Management|March 3, 2019
Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam)Dieu Tien Bui, Nhat-Duc Hoang, Pijush Samui
Journal of Environmental Management|May 20, 2019
Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probabilityAbolfazl Jaafari, Seyed Vahid Razavi Termeh, Dieu Tien Bui
Environmental Monitoring and Assessment|August 14, 2025
An interpretable machine learning framework for mapping hotspots and identifying their driving factors in urban environments during heat wavesNhat-Duc Hoang, Thanh-Canh Huynh, Dieu-Tien Bui
Sensors (Basel, Switzerland)|November 2, 2019
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based EnsemblesHossein Moayedi, Abdolreza Osouli, Dieu Tien Bui, et al.
Scientific Reports|November 25, 2020
Mapping wind erosion hazard with regression-based machine learning algorithmsHamid Gholami, Aliakbar Mohammadifar, Dieu Tien Bui, et al.
Sensors (Basel, Switzerland)|March 4, 2020
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern IndiaSunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Journal of Environmental Management|February 25, 2020
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibilityHossein Moayedi, Mohammad Mehrabi, Dieu Tien Bui, et al.
Pageof 5

Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
The Science of the Total Environment|August 31, 2019
Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of RomaniaRomulus Costache, Dieu Tien Bui
The Science of the Total Environment|January 14, 2020
Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensemblesRomulus Costache, Dieu Tien Bui
Sensors (Basel, Switzerland)|October 27, 2019
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy LogicHossein Moayedi, Dieu Tien Bui, Loke Kok Foong
Journal of Environmental Management|March 3, 2019
Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam)Dieu Tien Bui, Nhat-Duc Hoang, Pijush Samui
Journal of Environmental Management|May 20, 2019
Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probabilityAbolfazl Jaafari, Seyed Vahid Razavi Termeh, Dieu Tien Bui
Environmental Monitoring and Assessment|August 14, 2025
An interpretable machine learning framework for mapping hotspots and identifying their driving factors in urban environments during heat wavesNhat-Duc Hoang, Thanh-Canh Huynh, Dieu-Tien Bui
Sensors (Basel, Switzerland)|November 2, 2019
Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based EnsemblesHossein Moayedi, Abdolreza Osouli, Dieu Tien Bui, et al.
Scientific Reports|November 25, 2020
Mapping wind erosion hazard with regression-based machine learning algorithmsHamid Gholami, Aliakbar Mohammadifar, Dieu Tien Bui, et al.
Sensors (Basel, Switzerland)|March 4, 2020
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern IndiaSunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Journal of Environmental Management|February 25, 2020
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibilityHossein Moayedi, Mohammad Mehrabi, Dieu Tien Bui, et al.
Pageof 5