Dieu Tien Bui

Orcid: 0000-0001-5161-6479

According to our database1, Dieu Tien Bui authored at least 84 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Impacts of Resampling and Downscaling Digital Elevation Model and Its Morphometric Factors: A Comparison of Hopfield Neural Network, Bilinear, Bicubic, and Kriging Interpolations.
Remote. Sens., March, 2024

A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential.
IEEE Access, 2024

A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area.
Int. J. Digit. Earth, December, 2023

Spatial Prediction of Fluvial Flood in High-Frequency Tropical Cyclone Area Using TensorFlow 1D-Convolution Neural Networks and Geospatial Data.
Remote. Sens., November, 2023

Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions.
Remote. Sens., October, 2023

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. Sens., July, 2023

Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping.
Remote. Sens., April, 2023

A New Approach Based on Balancing Composite Motion Optimization and Deep Neural Networks for Spatial Prediction of Landslides at Tropical Cyclone Areas.
IEEE Access, 2023

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength.
Eng. Comput., 2022

Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng., 2022

Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides.
Appl. Soft Comput., 2022

Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network.
IEEE Access, 2022

Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine.
ISPRS Int. J. Geo Inf., 2021

Reliability-based structural design optimization: hybridized conjugate mean value approach.
Eng. Comput., 2021

Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil.
Eng. Comput., 2021

A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization.
Eng. Comput., 2021

Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete.
Eng. Comput., 2021

A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas.
Ecol. Informatics, 2021

Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India.
Sensors, 2020

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study.
Sensors, 2020

Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility.
Remote. Sens., 2020

A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping.
Remote. Sens., 2020

A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data.
Remote. Sens., 2020

Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management.
Remote. Sens., 2020

Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam.
Remote. Sens., 2020

Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model.
Remote. Sens., 2020

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran.
Remote. Sens., 2020

Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility.
Remote. Sens., 2020

Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility.
Remote. Sens., 2020

Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment.
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

GIS-Based Mapping of Seismic Parameters for the Pyrenees.
ISPRS Int. J. Geo Inf., 2020

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network.
Eng. Comput., 2020

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study.
Eng. Comput., 2020

A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam).
Eng. Comput., 2020

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models.
Eng. Comput., 2020

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling.
Eng. Comput., 2020

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH 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

A tree-based intelligence ensemble approach for spatial prediction of potential groundwater.
Int. J. Digit. Earth, 2020

A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010-2018.
Sensors, 2019

Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles.
Sensors, 2019

Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic.
Sensors, 2019

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran).
Sensors, 2019

A Novel Swarm Intelligence - Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility.
Sensors, 2019

Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques.
Sensors, 2019

A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China.
Remote. Sens., 2019

A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India.
Remote. Sens., 2019

Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran.
Remote. Sens., 2019

An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping.
Remote. Sens., 2019

Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions.
Remote. Sens., 2019

Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges.
Remote. Sens., 2019

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics.
Remote. Sens., 2019

Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam).
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

A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of <i>Fagus orientalis</i> in Northern Iran.
Remote. Sens., 2019

Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran.
Remote. Sens., 2019

Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran).
Remote. Sens., 2019

The Feasibility of Three Prediction Techniques of the Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, and Hybrid Particle Swarm Optimization for Assessing the Safety Factor of Cohesive Slopes.
ISPRS Int. J. Geo Inf., 2019

Predicting Slope Stability Failure through Machine Learning Paradigms.
ISPRS Int. J. Geo Inf., 2019

A swarm intelligence-based machine learning approach for predicting soil shear strength for road construction: a case study at Trung Luong National Expressway Project (Vietnam).
Eng. Comput., 2019

Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam.
Adv. Eng. Informatics, 2019

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping.
Sensors, 2018

A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data.
Sensors, 2018

Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms.
Sensors, 2018

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran).
Remote. Sens., 2018

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides.
Remote. Sens., 2018

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia.
Remote. Sens., 2018

A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam.
Neural Comput. Appl., 2018

Image Processing-Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony.
J. Comput. Civ. Eng., 2018

Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods.
ISPRS Int. J. Geo Inf., 2018

Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study.
Ecol. Informatics, 2018

GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method.
Ecol. Informatics, 2018

Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network.
Adv. Eng. Informatics, 2018

A novel hybrid artificial intelligence approach for flood susceptibility assessment.
Environ. Model. Softw., 2017

Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression.
Remote. Sens., 2016

A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides.
J. Comput. Civ. Eng., 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

Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine.
Appl. Soft Comput., 2016

Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS.
Comput. Geosci., 2012