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Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression

Automation in construction, 2019-09, Vol.105, p.102843, Article 102843

Hoang, Nhat-Duc

2019

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Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding

Advances in Civil Engineering, 2018-01, Vol.2018 (2018), p.1-10

2018

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Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network

Measurement : journal of the International Measurement Confederation, 2019-04, Vol.137, p.58-70

Hoang, Nhat-Duc

2019

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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)

Journal of environmental management, 2019-05, Vol.237, p.476-487

2019

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An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extraction

Advances in Civil Engineering, 2018-01, Vol.2018 (2018), p.1-12

2018

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Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach

Advanced engineering informatics, 2019-04, Vol.40, p.110-120

Hoang, Nhat-Duc

2019

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Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches

Mathematical problems in engineering, 2020, Vol.2020 (2020), p.1-19

2020

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Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

Automation in construction, 2018-10, Vol.94, p.203-213

2018

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

The Science of the total environment, 2020-01, Vol.701, p.134413-134413, Article 134413

2020

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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

Bulletin of engineering geology and the environment, 2018-02, Vol.77 (1), p.191-204

2018

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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

Landslides, 2017-04, Vol.14 (2), p.447-458

2017

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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, 2018-10, Vol.38, p.593-604

2018

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

Neural computing & applications, 2020-06, Vol.32 (11), p.7289-7309

2020

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Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

Expert systems with applications, 2016-03, Vol.46, p.60-68

2016

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Volatile fatty acids production from waste streams by anaerobic digestion: A critical review of the roles and application of enzymes

Bioresource technology, 2022-09, Vol.359, p.127420-127420, Article 127420

2022

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A novel method for asphalt pavement crack classification based on image processing and machine learning

Engineering with computers, 2019-04, Vol.35 (2), p.487-498

2019

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The local properties of some subclasses of plurisubharmonic functions

Indian journal of pure and applied mathematics, 2024-03, Vol.55 (1), p.419-424

Quy, Hoang Nhat

2024

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Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters

Computational intelligence and neuroscience, 2018-01, Vol.2018 (2018), p.1-18

2018

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Compressive Strength Estimation of Rice Husk Ash-Blended Concrete Using Deep Neural Network Regression with an Asymmetric Loss Function

Iranian journal of science and technology. Transactions of civil engineering, 2023-06, Vol.47 (3), p.1547-1565

Hoang, Nhat-Duc

2023

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A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete

Multiscale and Multidisciplinary Modeling, Experiments and Design, 2024-03, Vol.7 (1), p.375-394

Hoang, Nhat-Duc

2024

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

Catena (Giessen), 2020-05, Vol.188, p.104458, Article 104458

2020

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The minimum principle on the sequential complete local convex spaces

Indian journal of pure and applied mathematics, 2023-12, Vol.54 (4), p.1286-1297

Quy, Hoang Nhat

2023

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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

Landslides, 2017-02, Vol.14 (1), p.1-17

2017

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Estimating the compressive strength of roller compacted concrete using a novel swarm-optimised light gradient boosting machine

The international journal of pavement engineering, 2023-01, Vol.24 (2)

Hoang, Nhat-Duc

2023

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Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony

Journal of computing in civil engineering, 2018-09, Vol.32 (5)

2018

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Automatic detection of asphalt pavement raveling using image texture based feature extraction and stochastic gradient descent logistic regression

Detection of Surface Crack in Building Structures Using Image Processing Technique with an Improved Otsu Method for Image Thresholding

Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network

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)

An Artificial Intelligence Method for Asphalt Pavement Pothole Detection Using Least Squares Support Vector Machine and Neural Network with Steerable Filter-Based Feature Extraction

Image processing based automatic recognition of asphalt pavement patch using a metaheuristic optimized machine learning approach

Image Processing-Based Pitting Corrosion Detection Using Metaheuristic Optimized Multilevel Image Thresholding and Machine-Learning Approaches

Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network

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

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

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

Prediction of soil compression coefficient for urban housing project using novel integration machine learning approach of swarm intelligence and Multi-layer Perceptron Neural Network

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

Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis

Volatile fatty acids production from waste streams by anaerobic digestion: A critical review of the roles and application of enzymes

A novel method for asphalt pavement crack classification based on image processing and machine learning

The local properties of some subclasses of plurisubharmonic functions

Image Processing-Based Recognition of Wall Defects Using Machine Learning Approaches and Steerable Filters

Compressive Strength Estimation of Rice Husk Ash-Blended Concrete Using Deep Neural Network Regression with an Asymmetric Loss Function

A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete

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

The minimum principle on the sequential complete local convex spaces

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

Estimating the compressive strength of roller compacted concrete using a novel swarm-optimised light gradient boosting machine

Image Processing–Based Classification of Asphalt Pavement Cracks Using Support Vector Machine Optimized by Artificial Bee Colony

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