Binh Thai Pham
Orcid: 0000-0001-9707-840X
According to our database1,
Binh Thai Pham
authored at least 40 papers
between 2016 and 2024.
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Bibliography
2024
Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models.
Earth Sci. Informatics, February, 2024
2023
Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining.
Appl. Soft Comput., November, 2023
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning.
Earth Sci. Informatics, March, 2023
2022
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system.
Neural Comput. Appl., 2022
Effects of elastic foundation on the large-amplitude vibration analysis of functionally graded GPL-RC annular sector plates.
Eng. Comput., 2022
2021
A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient.
Sci. Program., 2021
Soft Comput., 2021
Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors.
Sensors, 2021
Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models.
Neural Comput. Appl., 2021
Metaheuristic optimization of Levenberg-Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength.
Neural Comput. Appl., 2021
Flood risk assessment using deep learning integrated with multi-criteria decision analysis.
Knowl. Based Syst., 2021
A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles.
Eng. Comput., 2021
Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods.
Eng. Comput., 2021
Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC.
Eng. Comput., 2021
Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm.
Ecol. Informatics, 2021
Ecol. Informatics, 2021
Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides.
Int. J. Digit. Earth, 2021
2020
Optimal design of adaptive and proportional integral derivative controllers using a novel hybrid particle swarm optimization algorithm.
Trans. Inst. Meas. Control, 2020
Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction.
Symmetry, 2020
Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential.
Remote. Sens., 2020
Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering.
J. Intell. Fuzzy Syst., 2020
Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis.
ISPRS Int. J. Geo Inf., 2020
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm.
Eng. Comput., 2020
A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping.
Eng. Appl. Artif. Intell., 2020
2019
Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data.
Sensors, 2019
A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).
Sensors, 2019
Remote. Sens., 2019
Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM.
Remote. Sens., 2019
Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. <i>Remote Sens.</i> 2018, <i>10</i>, 1538.
Remote. Sens., 2019
Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm.
Remote. Sens., 2019
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. Sens., 2019
Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling.
Entropy, 2019
Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq.
Comput. Electron. Agric., 2019
Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran.
Comput. Electron. Agric., 2019
2018
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.
Sensors, 2018
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides.
Remote. Sens., 2018
Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers.
Ecol. Informatics, 2018
2017
Environ. Model. Softw., 2017
2016
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India).
Environ. Model. Softw., 2016
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam.
Int. J. Digit. Earth, 2016