Quoc Bao Pham - Concepedia

Author

Quoc Bao Pham

Also Known As

Bao Pham Quoc, Pham, Quoc Bao, Pham, Quoc, Cuong, Pham, Quoc; Chang, On; Durairaj, Sumitha, Q. B. Pham, Quoc B. Pham, Quoc Bao Pham, Quoc Pham

258

Publications

11.1K

Citations

H-Index

196

Concepts

All Affiliations

Thu Dau Mot University Duy Tan University Institute of Applied Technology University of Silesia in Katowice Ton Duc Thang University

About

Quoc Bao Pham is an author at Thu Dau Mot University specializing in engineering, geography, and hydrology.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	51	140	7.6K
2	Social Sciences	24	32	1.4K
3	Management	7	7	596
4	Public Health	3	3	113
5	Biostatistics	2	2	44

Quoc Bao Pham

177

Publications

10K

Citations

H-Index

Page 1

	Year	Citations
Flood susceptibility modelling using advanced ensemble machine learning models Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Geoscience Frontiers	2020	536
Application of remote sensing and machine learning algorithms for forest fire mapping in a Mediterranean area Meriame Mohajane, Romulus Costache, Firoozeh Karimi, Ecological Indicators Environmental MonitoringForest FireEngineeringMachine Learning AlgorithmsFire Detection	2021	315
GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin, Slovakia Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, Ecological Indicators	2020	307
Flash-flood susceptibility mapping based on XGBoost, random forest and boosted regression trees Rahebeh Abedi, Romulus Costache, Hossein Shafizadeh‐Moghadam, Geocarto International EngineeringGeomorphologyForestryFlood ControlHydrologic Hazard	2021	273
Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques Romulus Costache, Quoc Bao Pham, Ehsan Sharifi, Remote Sensing Environmental MonitoringGis TechniquesEngineeringHydrologic EngineeringFlood Control	2019	260
GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms Sk Ajim Ali, Farhana Parvin, Jana Vojteková, Geoscience Frontiers	2020	237
Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms Swapan Talukdar, Bonosri Ghose, Shahfahad, Stochastic Environmental Research and Risk Assessment Hydrological DisasterEngineeringWater ResourcesCivil EngineeringGeography	2020	217
Groundwater level prediction using machine learning algorithms in a drought-prone area Quoc Bao Pham, Manish Kumar, Fabio Di Nunno, Neural Computing and Applications EngineeringData ScienceDrought-prone AreaGroundwater Level PredictionPredictive Analytics	2022	181
Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms Abdul‐Lateef Balogun, Fatemeh Rezaie, Quoc Bao Pham, Geoscience Frontiers	2020	169
Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques Chaitanya B. Pande, Kanak N. Moharir, Balamurugan Panneerselvam, Applied Water Science	2021	169

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