Nhat-Duc Hoang

  • Duy Tan University, Faculty of Civil Engineering, Danang, Vietnam
  • National Taiwan University of Science and Technology, Taipei, Taiwan (PhD 2013)

According to our database1, Nhat-Duc Hoang authored at least 40 papers between 2012 and 2022.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


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

Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach.
Soft Comput., 2021

A success history-based adaptive differential evolution optimized support vector regression for estimating plastic viscosity of fresh concrete.
Eng. Comput., 2021

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

Computer Vision-Based Patched and Unpatched Pothole Classification Using Machine Learning Approach Optimized by Forensic-Based Investigation Metaheuristic.
Complex., 2021

Automatic Impervious Surface Area Detection Using Image Texture Analysis and Neural Computing Models with Advanced Optimizers.
Comput. Intell. Neurosci., 2021

Automatic recognition of concrete spall using image processing and metaheuristic optimized LogitBoost classification tree.
Adv. Eng. Softw., 2021

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

Predicting ultimate bond strength of corroded reinforcement and surrounding concrete using a metaheuristic optimized least squares support vector regression model.
Neural Comput. Appl., 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

Estimating landslide occurrence via small watershed method with relevance vector machine.
Earth Sci. Informatics, 2020

Prediction of interface yield stress and plastic viscosity of fresh concrete using a hybrid machine learning approach.
Adv. Eng. Informatics, 2020

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

Predicting algal appearance on mortar surface with ensembles of adaptive neuro fuzzy models: a comparative study of ensemble strategies.
Int. J. Mach. Learn. Cybern., 2019

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

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

Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach.
Comput. Intell. Neurosci., 2019

Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach.
Adv. Eng. Informatics, 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

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. Sens., 2018

Estimating construction duration of diaphragm wall using firefly-tuned least squares support vector machine.
Neural Comput. Appl., 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

Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters.
Comput. Intell. Neurosci., 2018

Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach.
Comput. Intell. Neurosci., 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

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

Modeling Punching Shear Capacity of Fiber-Reinforced Polymer Concrete Slabs: A Comparative Study of Instance-Based and Neural Network Learning.
Appl. Comput. Intell. Soft Comput., 2017

A Self-Adaptive Fuzzy Inference Model Based on Least Squares SVM for Estimating Compressive Strength of Rubberized Concrete.
Int. J. Inf. Technol. Decis. Mak., 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. Digit. 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.
Appl. Comput. Intell. Soft Comput., 2014

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