Viet‐Ha Nhu

Hanoi University of Mining and Geology — VN

Environmental Science · Physical Sciences

26h-index2.6kcitations36works7.02yr avg
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Research Topics

Flood Risk Assessment and Management(20), Landslides and related hazards(16), Hydrology and Watershed Management Studies(6), Geotechnical Engineering and Analysis(6), Tree Root and Stability Studies(6)

Publications36 total

A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential
IEEE Access·2024· 7 citedOpen Access
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions
Remote Sensing·2023· 4 citedOpen Access
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas
Remote Sensing·2023· 34 citedOpen Access
A novel swarm intelligence optimized extreme learning machine for predicting soil shear strength: A case study at Hoa Vuong new urban project (Vietnam)
VIETNAM JOURNAL OF EARTH SCIENCES·2023· 1 citedOpen Access
Impacts of heuristic parameters in PSO inverse kinematics solvers
International Journal of Nonlinear Sciences and Numerical Simulation·2022· 8 cited
A new approach based on integration of random subspace and C4.5 decision tree learning method for spatial prediction of shallow landslides
VIETNAM JOURNAL OF EARTH SCIENCES·2022· 9 cited
Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm
Computer-Aided Civil and Infrastructure Engineering·2022· 63 cited
Water pollution examination through quality analysis of different rivers: a case study in India
Environment Development and Sustainability·2021· 56 cited
An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas
Environmental Earth Sciences·2021· 1 cited
A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping
Journal of Environmental Management·2020· 23 cited
An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength
Engineering With Computers·2020· 32 citedOpen Access
A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data
Journal of Hydrology·2020· 58 cited
Prediction of landslide susceptibility in Rudraprayag, India using novel ensemble of conditional probability and boosted regression tree-based on cross-validation method
The Science of The Total Environment·2020· 122 cited
Building a High-Resolution 3D Geotechnical Model of Hanoi City (Vietnam) for Geohazard Assessment and Sustainable Development
Lecture notes in civil engineering·2020
A New Hybrid Firefly–PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping
Remote Sensing·2020· 76 citedOpen Access
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
ISPRS International Journal of Geo-Information·2020· 82 citedOpen Access
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
Forests·2020· 85 citedOpen Access
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Applied Sciences·2020· 80 citedOpen Access
Monthly suspended sediment load prediction using artificial intelligence: testing of a new random subspace method
Hydrological Sciences Journal·2020· 49 cited
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
International Journal of Environmental Research and Public Health·2020· 145 citedOpen Access
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Frequent Co-authors

Dieu Tien Bui(20), Phuong Thao Thi Ngo(12), Nhat‐Duc Hoang(10), Himan Shahabi(9), Pham Viet Hoa(8), Ataollah Shirzadi(7), Nadhir Al‐Ansari(7), Baharin Bin Ahmad(7), Binh Thai Pham(6), Wei Chen(6), Hoang Nguyen(6), Abolfazl Jaafari(5), John J. Clague(4), Tien Dat Pham(4), Dang An Tran(4), Mahdis Amiri(4), Shaghayegh Miraki(3), Jie Dou(3), Tinh Thanh Bui(3), Pijush Samui(3)