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Binh Thai Pham

Showing results (1-10 of 40) with videos related to

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Empirical Economics|April 26, 2021
Cross-country connectedness in inflation and unemployment: measurement and macroeconomic consequencesBinh Thai Pham, Hector Sala
Plos One|January 27, 2022
Investigation on factors affecting early strength of high-performance concrete by Gaussian Process RegressionHai-Bang Ly, Thuy-Anh Nguyen, Binh Thai Pham
Journal of Colloid and Interface Science|June 3, 2020
Bifunctional and binder-free S-doped Ni-P nanospheres electrocatalyst fabricated by pulse electrochemical deposition method for overall water splittingMuhammad Aqeel Ashraf, Yafeng Yang, Dangquan Zhang, et al.
Journal of Environmental Management|October 14, 2025
Unequal footprint drivers: A pooled Bewley approach to energy and trade dynamics in OECDTrang Thi Thuy Nguyen, Hoai Thi Mai Bui, Binh Thai Pham
Scientific Reports|August 25, 2019
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniquesKuan-Tsung Chang, Abdelaziz Merghadi, Ali P Yunus, 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.
Environmental Pollution (Barking, Essex : 1987)|April 14, 2020
Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimationChongchong Qi, Wei Zhou, Xiang Lu, et al.
The Science of the Total Environment|April 26, 2019
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methodsDieu Tien Bui, Paraskevas Tsangaratos, Phuong-Thao Thi Ngo, et al.
Environmental Pollution (Barking, Essex : 1987)|April 12, 2021
Development of Artificial Neural Network for prediction of radon dispersion released from Sinquyen Mine, VietnamVan-Hao Duong, Hai-Bang Ly, Dinh Huan Trinh, et al.
Materials (Basel, Switzerland)|April 3, 2019
Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer ConcreteDong Van Dao, Hai-Bang Ly, Son Hoang Trinh, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Empirical Economics|April 26, 2021
Cross-country connectedness in inflation and unemployment: measurement and macroeconomic consequencesBinh Thai Pham, Hector Sala
Plos One|January 27, 2022
Investigation on factors affecting early strength of high-performance concrete by Gaussian Process RegressionHai-Bang Ly, Thuy-Anh Nguyen, Binh Thai Pham
Journal of Colloid and Interface Science|June 3, 2020
Bifunctional and binder-free S-doped Ni-P nanospheres electrocatalyst fabricated by pulse electrochemical deposition method for overall water splittingMuhammad Aqeel Ashraf, Yafeng Yang, Dangquan Zhang, et al.
Journal of Environmental Management|October 14, 2025
Unequal footprint drivers: A pooled Bewley approach to energy and trade dynamics in OECDTrang Thi Thuy Nguyen, Hoai Thi Mai Bui, Binh Thai Pham
Scientific Reports|August 25, 2019
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniquesKuan-Tsung Chang, Abdelaziz Merghadi, Ali P Yunus, 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.
Environmental Pollution (Barking, Essex : 1987)|April 14, 2020
Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimationChongchong Qi, Wei Zhou, Xiang Lu, et al.
The Science of the Total Environment|April 26, 2019
Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methodsDieu Tien Bui, Paraskevas Tsangaratos, Phuong-Thao Thi Ngo, et al.
Environmental Pollution (Barking, Essex : 1987)|April 12, 2021
Development of Artificial Neural Network for prediction of radon dispersion released from Sinquyen Mine, VietnamVan-Hao Duong, Hai-Bang Ly, Dinh Huan Trinh, et al.
Materials (Basel, Switzerland)|April 3, 2019
Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer ConcreteDong Van Dao, Hai-Bang Ly, Son Hoang Trinh, et al.
Pageof 4