Dieu Tien Bui
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Researcher ORCID ID = 0000-0001-5161-6479
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(Suggest an Edit or Addition)Dieu Tien Bui's Published Works
Published Works
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree (2016) (826)
- A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility (2017) (556)
- A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. (2015) (500)
- Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models (2012) (434)
- A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran. (2018) (401)
- Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS (2017) (400)
- A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India) (2016) (360)
- A novel hybrid artificial intelligence approach for flood susceptibility assessment (2017) (339)
- Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS (2012) (338)
- Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of (2012) (326)
- Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines (2015) (321)
- Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan. (2019) (310)
- Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China) (2018) (308)
- Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance (2020) (297)
- Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression (2011) (282)
- Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017) (275)
- Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks (2012) (248)
- A hybrid artificial intelligence approach using GIS-based neural-fuzzy inference system and particle swarm optimization for forest fire susceptibility modeling at a tropical area (2017) (239)
- Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS (2016) (235)
- GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks (2016) (222)
- Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization (2017) (218)
- Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan (2019) (205)
- Shallow landslide susceptibility assessment using a novel hybrid intelligence approach (2017) (204)
- A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area. (2019) (194)
- Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment (2020) (184)
- Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches (2019) (183)
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method (2018) (182)
- Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy (2016) (178)
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility (2019) (175)
- Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees (2018) (169)
- Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan (2015) (163)
- A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling (2019) (161)
- New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling (2018) (159)
- A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping (2019) (159)
- 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) (2018) (153)
- Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods. (2019) (150)
- Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network (2019) (149)
- Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (2018) (138)
- 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 (2017) (133)
- Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China) (2019) (129)
- Prediction of shear strength of soft soil using machine learning methods (2018) (128)
- Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and Biomass: Opportunities and Challenges (2019) (128)
- Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam (2013) (126)
- 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 (2016) (125)
- A novel hybrid approach of landslide susceptibility modelling using rotation forest ensemble and different base classifiers (2020) (125)
- Improving prediction of water quality indices using novel hybrid machine-learning algorithms. (2020) (124)
- A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil (2019) (124)
- Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression (2016) (122)
- A novel fuzzy K-nearest neighbor inference model with differential evolution for spatial prediction of rainfall-induced shallow landslides in a tropical hilly area using GIS (2017) (121)
- Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods. (2019) (120)
- A Comparative Study of Least Square Support Vector Machines and Multiclass Alternating Decision Trees for Spatial Prediction of Rainfall-Induced Landslides in a Tropical Cyclones Area (2016) (120)
- Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS (2016) (119)
- Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping (2018) (119)
- A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment. (2018) (118)
- Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia (2018) (115)
- Optimal sizing and location based on economic parameters for an off-grid application of a hybrid system with photovoltaic, battery and diesel technology (2020) (113)
- Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches (2018) (113)
- Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO) (2019) (112)
- Land Subsidence Susceptibility Mapping in South Korea Using Machine Learning Algorithms (2018) (112)
- Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling (2019) (112)
- Spatial prediction of groundwater spring potential mapping based on an adaptive neuro-fuzzy inference system and metaheuristic optimization (2018) (111)
- Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis. (2019) (110)
- Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost (2019) (110)
- Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines (2015) (108)
- A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China) (2017) (107)
- A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data (2018) (105)
- Bagging based Support Vector Machines for spatial prediction of landslides (2018) (104)
- 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 (2019) (102)
- Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM (2019) (100)
- A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment (2018) (99)
- A Novel Ensemble Approach for Landslide Susceptibility Mapping (LSM) in Darjeeling and Kalimpong Districts, West Bengal, India (2019) (98)
- Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network (2018) (98)
- A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam (2018) (96)
- Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China) (2017) (95)
- A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network (2019) (95)
- Hybrid computational intelligence models for groundwater potential mapping (2019) (94)
- Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi-dataset study (2018) (93)
- Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran (2020) (91)
- A comparative study between popular statistical and machine learning methods for simulating volume of landslides (2017) (90)
- A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility (2019) (90)
- Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study (2017) (90)
- A Hybrid GIS Multi-Criteria Decision-Making Method for Flood Susceptibility Mapping at Shangyou, China (2018) (89)
- Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India. (2020) (88)
- A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides (2018) (87)
- Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area (2020) (86)
- A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam) (2015) (85)
- Landslide Susceptibility Mapping Along the National Road 32 of Vietnam Using GIS-Based J48 Decision Tree Classifier and Its Ensembles (2014) (83)
- A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrasses and Salt Marshes during 2010–2018 (2019) (82)
- 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 (2018) (82)
- Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles. (2020) (81)
- Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree (2018) (80)
- Landslide Susceptibility Assessment at Mila Basin (Algeria): A Comparative Assessment of Prediction Capability of Advanced Machine Learning Methods (2018) (80)
- Comparison of machine learning models for gully erosion susceptibility mapping (2020) (80)
- Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania. (2019) (79)
- New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed (2019) (78)
- A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling (2018) (78)
- Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility. (2019) (77)
- Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods (2018) (77)
- 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 (2019) (76)
- A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS (2017) (76)
- Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm (2019) (76)
- Uncertainties of prediction accuracy in shallow landslide modeling: Sample size and raster resolution (2019) (75)
- Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO (2019) (75)
- Land subsidence modelling using tree-based machine learning algorithms. (2019) (74)
- Machine learning approaches for spatial modeling of agricultural droughts in the south-east region of Queensland Australia. (2020) (74)
- PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches. (2019) (73)
- A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran) (2019) (72)
- Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility. (2020) (71)
- Prediction of ultimate bearing capacity through various novel evolutionary and neural network models (2019) (71)
- Spatial pattern assessment of tropical forest fire danger at Thuan Chau area (Vietnam) using GIS-based advanced machine learning algorithms: A comparative study (2018) (70)
- Groutability estimation of grouting processes with cement grouts using Differential Flower Pollination Optimized Support Vector Machine (2016) (69)
- Evaluation of predictive ability of support vector machines and naive Bayes trees methods for spatial prediction of landslides in Uttarakhand state (India) using GIS (2016) (69)
- A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS (2017) (68)
- 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) (2019) (68)
- Novel hybrid intelligence models for flood-susceptibility prediction: Meta optimization of the GMDH and SVR models with the genetic algorithm and harmony search (2020) (68)
- The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers (2020) (67)
- Development of novel hybridized models for urban flood susceptibility mapping (2020) (65)
- Image Processing-Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony (2018) (65)
- Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning (2020) (64)
- Landslide Susceptibility Assessment at a Part of Uttarakhand Himalaya, India using GIS – based Statistical Approach of Frequency Ratio Method (2015) (64)
- Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier (2018) (63)
- Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques (2020) (63)
- Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm (2020) (62)
- Spatial pattern analysis and prediction of forest fire using new machine learning approach of Multivariate Adaptive Regression Splines and Differential Flower Pollination optimization: A case study at Lao Cai province (Viet Nam). (2019) (62)
- A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers (2020) (61)
- Herding Behaviors of grasshopper and Harris hawk for hybridizing the neural network in predicting the soil compression coefficient (2020) (60)
- A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping (2019) (59)
- Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability. (2019) (59)
- A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping (2020) (59)
- A tree-based intelligence ensemble approach for spatial prediction of potential groundwater (2020) (58)
- Predicting Slope Stability Failure through Machine Learning Paradigms (2019) (57)
- A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam (2014) (56)
- A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides (2016) (56)
- Estimating aboveground biomass of a mangrove plantation on the Northern coast of Vietnam using machine learning techniques with an integration of ALOS-2 PALSAR-2 and Sentinel-2A data (2018) (55)
- Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks (2017) (55)
- GIS-based spatial prediction of tropical forest fire danger using a new hybrid machine learning method (2018) (54)
- Application of polymer, silica-fume and crushed rubber in the production of Pervious concrete (2019) (54)
- Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction (2019) (53)
- Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam) (2017) (53)
- Convolutional neural network approach for spatial prediction of flood hazard at national scale of Iran (2020) (53)
- A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area (2019) (51)
- Reliability-based structural design optimization: hybridized conjugate mean value approach (2019) (50)
- Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm (2020) (50)
- Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India (2020) (50)
- Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran (2019) (49)
- A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling (2019) (49)
- A Bayesian framework based on a Gaussian mixture model and radial-basis-function Fisher discriminant analysis (BayGmmKda V1.1) for spatial prediction of floods (2017) (48)
- Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction (2019) (48)
- Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics (2019) (47)
- The feasibility of Levenberg–Marquardt algorithm combined with imperialist competitive computational method predicting drag reduction in crude oil pipelines (2020) (46)
- Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models (2019) (46)
- 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) (2019) (45)
- Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility (2020) (44)
- Landslide susceptibility modelling using different advanced decision trees methods (2018) (43)
- Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran) (2019) (43)
- Bedload transport rate prediction: Application of novel hybrid data mining techniques (2020) (42)
- Enhancing nitrate and strontium concentration prediction in groundwater by using new data mining algorithm. (2020) (42)
- A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility (2020) (41)
- Spatial prediction of landslide susceptibility using integrated frequency ratio with entropy and support vector machines by different kernel functions (2016) (40)
- Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete (2019) (40)
- Policy and priorities for national cancer control planning in low- and middle-income countries: Lessons from the Association of Southeast Asian Nations (ASEAN) Costs in Oncology prospective cohort study. (2017) (40)
- Application of support vector machines in landslide susceptibility assessment for the Hoa Binh province (Vietnam) with kernel functions analysis (2012) (39)
- Spatial prediction of shallow landslide using Bat algorithm optimized machine learning approach: A case study in Lang Son Province, Vietnam (2019) (39)
- 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) (2018) (39)
- Inferring air pollution from air quality index by different geographical areas: case study in India (2019) (38)
- Analysis of Outbreak and Global Impacts of the COVID-19 (2020) (38)
- Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model (2020) (38)
- Hybridized neural fuzzy ensembles for dust source modeling and prediction (2020) (38)
- Deep learning neural networks for spatially explicit prediction of flash flood probability (2020) (38)
- A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization (2020) (37)
- GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors (2019) (37)
- Prevalence of cervical infection with HPV type 16 and 18 in Vietnam: implications for vaccine campaign (2013) (36)
- Spatial Modeling of Snow Avalanche Using Machine Learning Models and Geo-Environmental Factors: Comparison of Effectiveness in Two Mountain Regions (2019) (36)
- Multi-hazards vulnerability assessment of southern coasts of Iran. (2019) (36)
- Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam (2021) (35)
- Urban Flood Hazard Modeling Using Self-Organizing Map Neural Network (2019) (33)
- Novel Ensembles of Deep Learning Neural Network and Statistical Learning for Flash-Flood Susceptibility Mapping (2020) (32)
- An experimental study on the effect of CFRP on behavior of reinforce concrete beam column connections (2019) (32)
- Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering (2020) (32)
- Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran (2019) (32)
- Soft-computing techniques for prediction of soils consolidation coefficient (2020) (32)
- New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping (2020) (31)
- Hybridizing four wise neural-metaheuristic paradigms in predicting soil shear strength (2020) (31)
- A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides Using GIS (2017) (30)
- Feature validity during machine learning paradigms for predicting biodiesel purity (2020) (30)
- Willingness to pay for mangrove restoration in the context of climate change in the Cat Ba biosphere reserve, Vietnam (2018) (29)
- A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping (2020) (29)
- Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility (2020) (29)
- Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia. (2019) (28)
- Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil (2019) (28)
- Household Financial Burden and Poverty Impacts of Cancer Treatment in Vietnam (2017) (28)
- Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study (2020) (28)
- Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles (2019) (28)
- Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam) (2017) (28)
- Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis (2019) (28)
- Optimized rule-based logistic model tree algorithm for mapping mangrove species using ALOS PALSAR imagery and GIS in the tropical region (2018) (28)
- Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment (2020) (28)
- Identifying sources of dust aerosol using a new framework based on remote sensing and modelling. (2020) (27)
- A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping (2019) (27)
- Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran (2019) (27)
- Systematic sample subdividing strategy for training landslide susceptibility models (2020) (27)
- Spatial Prediction of Landslide Hazard at the Yihuang Area (China): A Comparative Study on the Predictive Ability of Backpropagation Multi-layer Perceptron Neural Networks and Radial Basic Function Neural Networks (2015) (27)
- A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence (2020) (26)
- Debris flows modeling using geo-environmental factors: developing hybridized deep-learning algorithms (2021) (26)
- Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam (2018) (26)
- Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength (2019) (26)
- Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility (2020) (26)
- Spatial modelling of gully erosion in the Ardib River Watershed using three statistical-based techniques (2020) (25)
- Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques (2019) (24)
- Coastal Wetland Classification with Deep U-Net Convolutional Networks and Sentinel-2 Imagery: A Case Study at the Tien Yen Estuary of Vietnam (2020) (24)
- A new approach of deep neural computing for spatial prediction of wildfire danger at tropical climate areas (2021) (24)
- Mapping wind erosion hazard with regression-based machine learning algorithms (2020) (23)
- A New Modeling Approach for Spatial Prediction of Flash Flood with Biogeography Optimized CHAID Tree Ensemble and Remote Sensing Data (2020) (23)
- Behavior of steel storage pallet racking connection - A review (2019) (22)
- Vulnerability of coastal communities to climate change: Thirty-year trend analysis and prospective prediction for the coastal regions of the Persian Gulf and Gulf of Oman. (2020) (22)
- A Novel Hybrid Model of Rotation Forest Based Functional Trees for Landslide Susceptibility Mapping: A Case Study at Kon Tum Province, Vietnam (2017) (22)
- Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic (2019) (21)
- A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping (2020) (21)
- First comprehensive quantification of annual land use/cover from 1990 to 2020 across mainland Vietnam (2021) (20)
- Application of Three Metaheuristic Techniques in Simulation of Concrete Slump (2019) (19)
- Machine-Learning-Based Classification Approaches toward Recognizing Slope Stability Failure (2019) (18)
- A hybridized model based on neural network and swarm intelligence-grey wolf algorithm for spatial prediction of urban flood-inundation (2021) (18)
- Slope Stability Evaluation Using Radial Basis Function Neural Network, Least Squares Support Vector Machines, and Extreme Learning Machine (2017) (18)
- An integrated approach of GIS and hybrid intelligence techniques applied for flood risk modeling (2020) (18)
- Prevalence of cervical human papilloma virus infection among married women in Vietnam, 2011. (2012) (18)
- A novel hybrid quantum-PSO and credal decision tree ensemble for tropical cyclone induced flash flood susceptibility mapping with geospatial data (2020) (17)
- Application of Classification and Regression Trees for Spatial Prediction of Rainfall-Induced Shallow Landslides in the Uttarakhand Area (India) Using GIS (2018) (17)
- Landslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio Model (2015) (17)
- Lightweight Unmanned Aerial Vehicle and Structure-from-Motion Photogrammetry for Generating Digital Surface Model for Open-Pit Coal Mine Area and Its Accuracy Assessment (2017) (17)
- Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study (2020) (16)
- Swarm intelligence optimization of the group method of data handling using the cuckoo search and whale optimization algorithms to model and predict landslides (2021) (16)
- A Hybrid Intelligence System Based on Relevance Vector Machines and Imperialist Competitive Optimization for Modelling Forest Fire Danger Using GIS (2018) (16)
- Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil (2019) (16)
- Prediction of Pullout Behavior of Belled Piles through Various Machine Learning Modelling Techniques (2019) (15)
- iGeoTrans – a novel iOS application for GPS positioning in geosciences (2014) (15)
- An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping (2019) (15)
- A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran (2019) (14)
- Spatially explicit predictions of changes in the extent of mangroves of Iran at the end of the 21st century (2020) (14)
- Two novel neural-evolutionary predictive techniques of dragonfly algorithm (DA) and biogeography-based optimization (BBO) for landslide susceptibility analysis (2019) (14)
- Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron (2020) (13)
- A New Approach of Hybrid Bee Colony Optimized Neural Computing to Estimate the Soil Compression Coefficient for a Housing Construction Project (2019) (13)
- Assessment of Gini-, entropy- and ratio-based classification trees for groundwater potential modelling and prediction (2020) (13)
- Spatial modeling of exposure of mangrove ecosystems to multiple environmental hazards. (2020) (13)
- GIS-Based Mapping of Seismic Parameters for the Pyrenees (2020) (12)
- Hybrid Intelligent Model Based on Least Squares Support Vector Regression and Artificial Bee Colony Optimization for Time-Series Modeling and Forecasting Horizontal Displacement of Hydropower Dam (2017) (12)
- Reliability Analysis of Slope Safety Factor by Using GPR and GP (2018) (12)
- Spatial assessment of landslide risk using two novel integrations of neuro-fuzzy system and metaheuristic approaches; Ardabil Province, Iran (2020) (11)
- Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood (2021) (11)
- Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin (2020) (11)
- Identification of nonlinear model for rotary high aspect ratio flexible blade using free vibration response (2020) (11)
- A novel hybrid arti fi cial intelligence approach for fl ood susceptibility assessment (2018) (10)
- Recent tectonics, geodynamics and seismotectonics in the Ninh Thuan Nuclear Power plants and surrounding regions, South Vietnam (2020) (9)
- Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm (2022) (9)
- An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength (2020) (9)
- Development of Two Novel Hybrid Prediction Models Estimating Ultimate Bearing Capacity of the Shallow Circular Footing (2019) (8)
- A new hybrid equilibrium optimized SysFor based geospatial data mining for tropical storm-induced flash flood susceptible mapping. (2020) (8)
- A comprehensive study of new hybrid models for Adaptive Neuro-Fuzzy Inference System (ANFIS) with Invasive Weed Optimization (IWO), Differential Evolution (DE), Firefly (FA), Particle Swarm Optimization (PSO) and Bees (BA) algorithms for spatial prediction of groundwater spring potential mapping (2018) (7)
- Marine gravity anomaly mapping for the Gulf of Tonkin area (Vietnam) using Cryosat-2 and Saral/AltiKa satellite altimetry data (2020) (7)
- A New Integrated Approach Based on the Iterative Super-Resolution Algorithm and Expectation Maximization for Face Hallucination (2020) (7)
- Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm (2019) (7)
- A Novel Application of League Championship Optimization (LCA): Hybridizing Fuzzy Logic for Soil Compression Coefficient Analysis (2019) (7)
- GIS-Based Landslide Spatial Modeling Using Batch-Training Back-propagation Artificial Neural Network: A Study of Model Parameters (2017) (7)
- An Integration of Least Squares Support Vector Machines and Firefly Optimization Algorithm for Flood Susceptible Modeling Using GIS (2017) (6)
- Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management (2020) (6)
- 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. Remote Sens. 2018, 10, 1538 (2018) (5)
- TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency (2020) (5)
- Current status of radiotherapy in Vietnam, 2002. (2004) (5)
- Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques (2020) (5)
- Experimental Evaluation of a School-Based Mental Health Literacy Program in two Southeast Asian Nations (2020) (5)
- Performance evaluation of a U-shaped heat exchanger containing hybrid Cu/CNTs nanofluids: experimental data and modeling using regression and artificial neural network (2020) (5)
- Cu-Au mineralization of the Sin Quyen deposit in north Vietnam: A product of Cenozoic left-lateral movement along the Red River shear zone (2021) (5)
- Prediction of ultimate bearing capacity through various novel evolutionary and neural network models (2019) (4)
- A Novel Evolutionary Genetic Optimization-Based Adaptive Neuro-Fuzzy Inference System and Geographical Information Systems Predict and Map Soil Organic Carbon Stocks Across an Afromontane Landscape (2017) (4)
- Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling (2019) (4)
- LAND COVER CHANGE MAPPING USING A COMBINATION OF SENTINEL-1 DATA AND MULTISPECTRAL SATELLITE IMAGERY: A CASE STUDY OF SANANDAJ COUNTY, KURDISTAN, IRAN (2019) (4)
- LAND COVER CHANGE MAPPING USING A COMBINATION OF SENTINEL-1 DATA AND MULTISPECTRAL SATELLITE IMAGERY: A CASE STUDY OF SANANDAJ COUNTY, KURDISTAN, IRAN (2019) (3)
- Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine (2021) (3)
- Fine-tuning of neural computing using whale optimization algorithm for predicting compressive strength of concrete (2019) (2)
- Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework (2022) (2)
- Handbook of Probabilistic Models (2020) (2)
- Advances and Applications in Geospatial Technology and Earth Resources: Proceedings of the International Conference on Geo-Spatial Technologies and Earth Resources 2017 (2018) (2)
- Estimating the incidence of malignant mesothelioma in Vietnam: a pilot descriptive cancer registration study (2016) (2)
- An approach based on socio-politically optimized neural computing network for predicting shallow landslide susceptibility at tropical areas (2021) (2)
- Reliability-based structural design optimization: hybridized conjugate mean value approach (2019) (1)
- Global citizenship – Dataset from Vietnam (2020) (1)
- Basics of Computational Geophysics (2020) (1)
- Reducing the impacts of intra-class spectral variability on the accuracy of soft classification and super-resolution mapping of shoreline (2018) (1)
- Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions (2022) (1)
- Prevalence of cervical infection with HPV type 16 and 18 in Vietnam: implications for vaccine campaign (2013) (1)
- Identification of Sensitive Factors for Placement of Flood Monitoring Sensors in Wastewater/Stormwater Network Using GIS-Based Fuzzy Analytical Hierarchy Process: A Case of Study in Ålesund, Norway (2020) (1)
- Subsidence Assessment of Building Blocks in Hanoi Urban Area from 2011 to 2014 Using TerraSAR-X and COSMO-SkyMed Images and PSInSAR (2020) (1)
- Comparison of Machine Learning Techniques for Condition Assessment of Sewer Network (2022) (0)
- Data for: GIS-Based Spatial Prediction of Tropical Forest Fire Danger Using a New Machine Learning Method of Differential Flower Pollination and Mini-Batch Backpropagation Based Artificial Neural Network (2018) (0)
- Assessment of the TREELIM model in predicting present treeline along a longitudinal continentality-maritimity gradient in south-western Norway (2022) (0)
- A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam (2016) (0)
- A comprehensive study of new hybrid models for ANFIS with five meta-1 heuristic algorithms ( IWO , DE , FA , PSO , BA ) for spatial prediction of 2 groundwater spring potential mapping (2018) (0)
- Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (2018) (0)
- Animation Generation of Anti-Tumor Action Mechanism of Active Components of Astragalus Membranaceus with Computer Navigation (2022) (0)
- Development of novel hybridized models for urban flood susceptibility mapping (2020) (0)
- Experimental Evaluation of a School-Based Mental Health Literacy Program in two Southeast Asian Nations (2020) (0)
- Application of the Fuzzy Unordered Rules Induction Algorithm with Bagging ensemble for Shallow Landslides Susceptibility Mapping at the Lang Son city (Vietnam) (2013) (0)
- Seafloor Depth Mapping of Central Vietnam’s Sea area and its surrounding using gravity anomaly data and Gravity Geological Method (2023) (0)
- Hybrid BBO-DE Optimized SPAARCTree Ensemble for Landslide Susceptibility Mapping (2023) (0)
- A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network (2019) (0)
- 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) (2018) (0)
- 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) (2019) (0)
- A Bayesian Framework Based on Gaussian Mixture Model and Radial Basis Function Fisher Discriminant Analysis for Flood Spatial Prediction (BayGmmKda V1.1) (2017) (0)
- Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study (2019) (0)
- Detection and Prediction of Urban Expansion of Hanoi Area (Vietnam) Using SPOT-5 Satellite Imagery and Markov Chain Model (2017) (0)
- Author Correction: Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods (2021) (0)
- Proposing two new metaheuristic algorithms of ALO-MLP and SHO-MLP in predicting bearing capacity of circular footing located on horizontal multilayer soil (2019) (0)
- Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling (2019) (0)
- Optimization of state-ofthe-art fuzzy-metaheuristic ANFIS based machine 1 learning models for flood susceptibility prediction mapping in the Middle 2 (2020) (0)
- A hybrid sufficient performance measure approach to improve robustness and efficiency of reliability-based design optimization (2020) (0)
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