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Binh Thai Pham

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Binh Thai Pham
Name Binh Thai Pham
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1 Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling? JOURNAL OF HYDROLOGY
2 Predicting sustainable arsenic mitigation using machine learning techniques ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
3 Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning SCIENCE OF THE TOTAL ENVIRONMENT
4 A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers Geocarto International
5 Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm Geoscience Frontiers
6 A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping Engineering Applications of Artificial Intelligence
7 New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed FORESTS
8 Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms International Journal of Environmental Research and Public Health
9 Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran FORESTS
10 A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers Sustainability
11 GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models Applied Sciences-Basel
12 A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India International Journal of Sediment Research
13 Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis The Open Construction & Building Technology Journal
14 Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin Sustainability
15 A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping Water
16 SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment SENSORS
17 A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment Geocarto International
18 A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran) SENSORS
19 Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model Remote Sensing
20 Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms Sustainability
21 Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction Applied Sciences-Basel
22 Land cover change mapping using a combination of Sentinel-1 data ‎and multispectral satellite imagery: A case study of Sanandaj County, Kurdistan, Iran Applied Ecology and Environmental Research
23 Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling FORESTS
24 Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression Applied Sciences-Basel
25 A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods JOURNAL OF HYDROLOGY
26 Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach WATER RESOURCES MANAGEMENT
27 Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm Remote Sensing
28 Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility CATENA
29 Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches CATENA
30 Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping SENSORS
31 A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides Remote Sensing
32 A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran SCIENCE OF THE TOTAL ENVIRONMENT
33 A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) Environmental Earth Sciences
34 A Novel Hybrid Artificial Intelligence Approach for Flood Susceptibility Assessment ENVIRONMENTAL MODELLING & SOFTWARE
35 A comparative study between popular statistical and machine learning methods for simulating volume of landslides CATENA
36 Shallow landslide susceptibility assessment using a novel hybrid intelligence approach Environmental Earth Sciences