D. Tien Bui

发表

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

Biswajeet Pradhan, Inge Revhaug, Tran Anh Tuan, 2016, Landslides.

Regional prediction of landslide hazard using probability analysis of intense rainfall in the Hoa Binh province, Vietnam

B. Pradhan, O. Lofman, Inge Revhaug, 2013, Natural Hazards.

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan.

B. Pham, D. Tien Bui, Jie Dou, 2019, The Science of the total environment.

Optimization of Causative Factors for Landslide Susceptibility Evaluation Using Remote Sensing and GIS Data in Parts of Niigata, Japan

Inge Revhaug, D. Tien Bui, Xuan Song, 2015, PloS one.

Bagging based Support Vector Machines for spatial prediction of landslides

B. Pham, Indra Prakash, D. Tien Bui, 2018, Environmental Earth Sciences.

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

Nguyen Quoc Thanh, B. Pradhan, Nhat-Duc Hoang, 2017, Landslides.

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran.

B. Pham, Inge Revhaug, Indra Prakash, 2018, The Science of the total environment.

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

B. Pham, H. Pourghasemi, M. Dholakia, 2017, Theoretical and Applied Climatology.

Prediction of shear strength of soft soil using machine learning methods

Binh Thai Pham, Le Hoang Son, Dieu Tien Bui, 2018, CATENA.

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

B. Pradhan, Wei Chen, Chong Xu, 2016 .

Spatial prediction of rainfall-induced shallow landslides using gene expression programming integrated with GIS: a case study in Vietnam

Nhat-Duc Hoang, D. Tien Bui, 2018, Natural Hazards.

A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

B. Pham, M. Dholakia, Indra Prakash, 2017, Environmental Earth Sciences.

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

B. Pradhan, B. Pham, Inge Revhaug, 2016, Environmental Earth Sciences.

Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS

B. Pham, M. Dholakia, Indra Prakash, 2016, Natural Hazards.

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

Quoc-Phi Nguyen, Nhat-Duc Hoang, D. Tien Bui, 2017, Landslides.

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

B. Pham, M. Dholakia, Indra Prakash, 2016, Geotechnical and Geological Engineering.

Landslide susceptibility modelling using different advanced decision trees methods

Indra Prakash, D. Tien Bui, Binh Thai Pham, 2018, Civil Engineering and Environmental Systems.

Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods

Wei Chen, Yingying Tian, H. Hong, 2018, Natural Hazards.

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Lanh Si Ho, B. Pham, Indra Prakash, 2020, Water.

GIS-Based Site Selection for Check Dams in Watersheds: Considering Geomorphometric and Topo-Hydrological Factors

G. Destouni, D. Tien Bui, Omid Rahmati, 2019, Sustainability.

iGeoTrans – a novel iOS application for GPS positioning in geosciences

Biswajeet Pradhan, Razak Seidu, Inge Revhaug, 2014 .

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods.

Frederic Coulon, Himan Shahabi, Baharin Bin Ahmad, 2019, The Science of the total environment.

New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed

Jie Dou, Himan Shahabi, Ataollah Shirzadi, 2019, Forests.

A Hybrid Intelligence Approach to Enhance the Prediction Accuracy of Local Scour Depth at Complex Bridge Piers

P. T. Ghazvinei, D. Tien Bui, S. Singh, 2020 .

Reducing the impacts of intra-class spectral variability on the accuracy of soft classification and super-resolution mapping of shoreline

G. Foody, D. Tien Bui, H. Doan, 2018, International Journal of Remote Sensing.

Bedload transport rate prediction: Application of novel hybrid data mining techniques

Khabat Khosravi, Prasad Daggupati, James R. Cooper, 2020 .

Capability and robustness of novel hybridized models used for drought hazard modeling in southeast Queensland, Australia.

Zahra Kalantari, Omid Rahmati, Mahdi Panahi, 2019, The Science of the total environment.

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)

Indra Prakash, Dieu Tien Bui, B. Pham, 2017, Journal of the Indian Society of Remote Sensing.

Effects of Inter-Basin Water Transfer on Water Flow Condition of Destination Basin

D. Tien Bui, S. Khezri, K. Chapi, 2020, Sustainability.

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis.

Binh Thai Pham, Le Hoang Son, Tien-Thinh Le, 2019, The Science of the total environment.

Design and implementation of site-specific rainfall-induced landslide early warning and monitoring system: a case study at Nam Dan landslide (Vietnam)

Duc-Tan Tran, Dieu Tien Bui, Quoc Anh Gian, 2017 .

Identifying sources of dust aerosol using a new framework based on remote sensing and modelling.

Seid Saeid Ghiasi, D. Tien Bui, F. Coulon, 2020, The Science of the total environment.

TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

Seid Saeid Ghiasi, D. Bui, D. Tien Bui, 2020 .

Marine gravity anomaly mapping for the Gulf of Tonkin area (Vietnam) using Cryosat-2 and Saral/AltiKa satellite altimetry data

D. Bui, O. Andersen, D. Tien Bui, 2020, Advances in Space Research.

Inferring air pollution from air quality index by different geographical areas: case study in India

Le Hoang Son, B. Pham, D. Tien Bui, 2019, Air Quality, Atmosphere & Health.

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.

D. Tien Bui, A. Jaafari, E. Zenner, 2020, The Science of the total environment.

Predicting Heating and Cooling Loads in Energy-Efficient Buildings Using Two Hybrid Intelligent Models

Hossein Moayedi, Loke Kok Foong, Dieu Tien Bui, 2019, Applied Sciences.

Spatial predicting of flood potential areas using novel hybridizations of fuzzy decision-making, bivariate statistics, and machine learning

Quoc Bao Pham, Romulus Costache, Dieu Tien Bui, 2020 .

Land subsidence modelling using tree-based machine learning algorithms.

Ravinesh C. Deo, Omid Rahmati, Artemi Cerdà, 2019, The Science of the total environment.

Cu-Au mineralization of the Sin Quyen deposit in north Vietnam: A product of Cenozoic left-lateral movement along the Red River shear zone

D. Bui, D. Tien Bui, P. T. Trinh, 2021 .

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study

Nhat-Duc Hoang, P. Samui, D. Tien Bui, 2019, Engineering with Computers.

Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength

Bahareh Kalantar, Hossein Moayedi, Loke Kok Foong, 2019, Applied Sciences.

A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment

Himan Shahabi, Ataollah Shirzadi, Kamran Chapi, 2018, Geocarto International.

Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

Dieu Tien Bui, Indra Prakash, Binh Thai Pham, 2017, Geotechnical and Geological Engineering.

Development of novel hybridized models for urban flood susceptibility mapping

Hamid Darabi, Zahra Kalantari, Omid Rahmati, 2020, Scientific Reports.

A comparison study of DRASTIC methods with various objective methods for groundwater vulnerability assessment.

Frank T.-C. Tsai, Vijay P. Singh, Khabat Khosravi, 2018, The Science of the total environment.

Multi-hazards vulnerability assessment of southern coasts of Iran.

Abolfazl Jaafari, Dieu Tien Bui, Davood Mafi-Gholami, 2019, Journal of environmental management.

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area.

Pijush Samui, Nhat-Duc Hoang, Romulus Costache, 2019, The Science of the total environment.

Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2020 .

Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction

Nguyen Trung Thang, Dieu Tien Bui, Binh Thai Pham, 2019, Applied Sciences.

Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania.

Romulus Costache, Dieu Tien Bui, D. Tien Bui, 2019, The Science of the total environment.

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

D. Tien Bui, D. Jahed Armaghani, M. Hasanipanah, 2019, Engineering with Computers.

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)

Nhat-Duc Hoang, Dieu Tien Bui, Viet-Ha Nhu, 2018, Engineering with Computers.

Development of novel hybridized models for urban flood susceptibility mapping

Seyed Amir Naghibi, M. Panahi, A. Kornejady, 2020, Scientific Reports.

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).

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2019, Journal of environmental management.

A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data

Francisco Martínez-Álvarez, Farzin Shabani, Dieu Tien Bui, 2018, Theoretical and Applied Climatology.

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree

Saro Lee, Dieu Tien Bui, Venkatesh Raghavan, 2018, Applied Sciences.

Identification of areas prone to flash-flood phenomena using multiple-criteria decision-making, bivariate statistics, machine learning and their ensembles.

Romulus Costache, Dieu Tien Bui, D. Tien Bui, 2020, The Science of the total environment.

Spatial modeling of exposure of mangrove ecosystems to multiple environmental hazards.

Abolfazl Jaafari, Dieu Tien Bui, Davood Mafi-Gholami, 2020, The Science of the total environment.

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility.

Biswajeet Pradhan, Alireza Arabameri, Dieu Tien Bui, 2019, The Science of the total environment.

Development of a novel hybrid multi-boosting neural network model for spatial prediction of urban flood

Hamid Darabi, Zahra Kalantari, Omid Rahmati, 2021, Geocarto International.

Analysis of Outbreak and Global Impacts of the COVID-19

Le Hoang Son, Viet-Ha Nhu, Ishaani Priyadarshini, 2020, Healthcare.

Seafloor Depth Mapping of Central Vietnam’s Sea area and its surrounding using gravity anomaly data and Gravity Geological Method

D. Tien Bui, Lam Van Nguyen, Nguyen Van Sang, 2023, Advances in Space Research.

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

Pijush Samui, Nhat-Duc Hoang, Dieu Tien Bui, 2019, Journal of Hydrology.

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)

Nhat-Duc Hoang, Viet-Ha Nhu, Dieu Tien Bui, 2019, Engineering with Computers.

A Novel Application of League Championship Optimization (LCA): Hybridizing Fuzzy Logic for Soil Compression Coefficient Analysis

Hossein Moayedi, Dieu Tien Bui, Phuong-Thao Thi Ngo, 2019, Applied Sciences.

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study

Pijush Samui, Nhat-Duc Hoang, Deepak Kumar, 2019, Engineering with Computers.