Nhat-Duc Hoang

According to our database1, Nhat-Duc Hoang authored at least 26 papers between 2012 and 2019.

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



In proceedings 
PhD thesis 


On csauthors.net:


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.
Remote Sensing, 2019

Predicting algal appearance on mortar surface with ensembles of adaptive neuro fuzzy models: a comparative study of ensemble strategies.
Int. J. Machine Learning & Cybernetics, 2019

A novel method for asphalt pavement crack classification based on image processing and machine learning.
Eng. Comput. (Lond.), 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. (Lond.), 2019

Automatic Detection of Concrete Spalling Using Piecewise Linear Stochastic Gradient Descent Logistic Regression and Image Texture Analysis.
Complexity, 2019

Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach.
Comp. Int. and Neurosc., 2019

Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach.
Advanced Engineering Informatics, 2019

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

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

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

Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine.
Neural Computing and Applications, 2018

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

Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.
Comp. Int. and Neurosc., 2018

Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach.
Comp. Int. and Neurosc., 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.
Advanced Engineering Informatics, 2018

An Investigation on the Dynamic Response of Cable Stayed Bridge with Consideration of Three-Axle Vehicle Braking Effects.
J. Computational Engineering, 2017

Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning.
Applied Comp. Int. Soft Computing, 2017

A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete.
International Journal of Information Technology and Decision Making, 2016

Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis.
Expert Syst. Appl., 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. Digital Earth, 2016

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

Evaluating Contractor Financial Status Using a Hybrid Fuzzy Instance Based Classifier: Case Study in the Construction Industry.
IEEE Trans. Engineering Management, 2015

A Swarm-Optimized Fuzzy Instance-based Learning approach for predicting slope collapses in mountain roads.
Knowl.-Based Syst., 2015

A novel hybrid intelligent approach for contractor default status prediction.
Knowl.-Based Syst., 2014

A Novel Time Series Prediction Approach Based on a Hybridization of Least Squares Support Vector Regression and Swarm Intelligence.
Applied Comp. Int. Soft Computing, 2014

A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion.
Eng. Appl. of AI, 2012