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Tien Bui

Showing results (51-60 of 96) with videos related to

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International Journal of Environmental Research and Public Health|April 27, 2024
Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in CanadaMario Leone, Hung Tien Bui, Emilia Kalinova, et al.
Journal of Functional Morphology and Kinesiology|February 21, 2025
The Protective Role of Physical Fitness Level Against Obesity and Body Dissatisfaction in French-Canadian YouthMario Leone, Isabelle Thibault, Hung Tien Bui, et al.
Sensors (Basel, Switzerland)|August 21, 2019
A Novel Swarm Intelligence-Harris Hawks Optimization for Spatial Assessment of Landslide SusceptibilityDieu Tien Bui, Hossein Moayedi, Bahareh Kalantar, et al.
Plos One|July 28, 2015
Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, JapanJie Dou, Dieu Tien Bui, Ali P Yunus, et al.
BMC Infectious Diseases|July 3, 2014
Multilocus variable-number tandem-repeat analysis of clinical isolates of Aspergillus flavus from Iran reveals the first cases of Aspergillus minisclerotigenes associated with human infectionParvin Dehghan, Tien Bui, Leona T Campbell, 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|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.
The Science of the Total Environment|September 4, 2020
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, IndiaAman Arora, Alireza Arabameri, Manish Pandey, 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.
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.
Pageof 10

Showing results (51-60 of 96) with videos related to

Sort By:
Pageof 10
International Journal of Environmental Research and Public Health|April 27, 2024
Investigation of Underlying Association between Anthropometric and Cardiorespiratory Fitness Markers among Overweight and Obese Adolescents in CanadaMario Leone, Hung Tien Bui, Emilia Kalinova, et al.
Journal of Functional Morphology and Kinesiology|February 21, 2025
The Protective Role of Physical Fitness Level Against Obesity and Body Dissatisfaction in French-Canadian YouthMario Leone, Isabelle Thibault, Hung Tien Bui, et al.
Sensors (Basel, Switzerland)|August 21, 2019
A Novel Swarm Intelligence-Harris Hawks Optimization for Spatial Assessment of Landslide SusceptibilityDieu Tien Bui, Hossein Moayedi, Bahareh Kalantar, et al.
Plos One|July 28, 2015
Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, JapanJie Dou, Dieu Tien Bui, Ali P Yunus, et al.
BMC Infectious Diseases|July 3, 2014
Multilocus variable-number tandem-repeat analysis of clinical isolates of Aspergillus flavus from Iran reveals the first cases of Aspergillus minisclerotigenes associated with human infectionParvin Dehghan, Tien Bui, Leona T Campbell, 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|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.
The Science of the Total Environment|September 4, 2020
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, IndiaAman Arora, Alireza Arabameri, Manish Pandey, 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.
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.
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