Nhat-Duc Hoang
Orcid: 0000-0001-9450-4637Affiliations:
- 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 48 papers
between 2012 and 2023.
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Bibliography
2023
A novel whale optimization algorithm optimized XGBoost regression for estimating bearing capacity of concrete piles.
Neural Comput. Appl., February, 2023
2022
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
2021
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
2020
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
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
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
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
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
Image Processing-Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony.
J. Comput. Civ. Eng., 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
2017
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
2016
Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network.
J. Comput. Civ. Eng., 2016
Predicting Compressive Strength of High-Performance Concrete Using Metaheuristic-Optimized Least Squares Support Vector Regression.
J. Comput. Civ. Eng., 2016
A Novel Relevance Vector Machine Classifier with Cuckoo Search Optimization for Spatial Prediction of Landslides.
J. Comput. Civ. Eng., 2016
Slope Collapse Prediction Using Bayesian Framework with K-Nearest Neighbor Density Estimation: Case Study in Taiwan.
J. Comput. Civ. Eng., 2016
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
2015
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
2014
Knowl. Based Syst., 2014
Groutability Estimation of Grouting Processes with Microfine Cements Using an Evolutionary Instance-Based Learning Approach.
J. Comput. Civ. Eng., 2014
Risk Score Inference for Bridge Maintenance Project Using Evolutionary Fuzzy Least Squares Support Vector Machine.
J. Comput. Civ. Eng., 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
2012
A novel time-depended evolutionary fuzzy SVM inference model for estimating construction project at completion.
Eng. Appl. Artif. Intell., 2012