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On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils

Materials, 2021-10, Vol.14 (21), p.6516

2021

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Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

Computer modeling in engineering & sciences, 2022, Vol.131 (3), p.1431-1449

2022

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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Frontiers of Structural and Civil Engineering, 2022-08, Vol.16 (8), p.1003-1016

2022

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Development of multiclass alternating decision trees based models for landslide susceptibility mapping

Physics and chemistry of the earth. Parts A/B/C, 2022-12, Vol.128, p.103235, Article 103235

2022

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Prediction of interlayer shear strength of double-layer asphalt using novel hybrid artificial intelligence models of ANFIS and metaheuristic optimizations

Construction & building materials, 2022-03, Vol.323, p.126595, Article 126595

2022

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Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges

Arabian journal for science and engineering (2011), 2024-04, Vol.49 (4), p.5505-5515

2024

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Modeling and Mapping of Flood Susceptibility at Que Son District, Quang Nam Province, Vietnam using CatBoost

IOP conference series. Materials Science and Engineering, 2023-08, Vol.1289 (1), p.12019

2023

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GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

Mathematical problems in engineering, 2021, Vol.2021, p.1-19

2021

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Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm

Geocarto international, 2022-12, Vol.37 (27), p.17777-17798

2022

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Prediction of Interface Shear Stiffness Modulus of Asphalt Pavement using Bagging Ensemble-based Hybrid Machine Learning Model

Arabian journal for science and engineering (2011), 2023-10, Vol.48 (10), p.13889-13900

2023

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Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam

Journal of hydroinformatics, 2024-01, Vol.26 (1), p.72-87

2024

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Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam

Computer modeling in engineering & sciences, 2023, Vol.135 (3), p.2219-2241

2023

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Prediction of soil unconfined compressive strength using Artificial Neural Network Model

VIETNAM JOURNAL OF EARTH SCIENCES, 2020-01, Vol.42 (3)

2020

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Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil

Transportation Geotechnics, 2022-09, Vol.36, p.100797, Article 100797

2022

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Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India

Advances in Civil Engineering, 2022, Vol.2022 (1)

2022

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

Frontiers of Structural and Civil Engineering, 2023-05, Vol.17 (5), p.812-826

2023

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Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure, p.1927-1935

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Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models

Applied water science, 2024-01, Vol.14 (1), p.2-15, Article 2

2024

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Flood susceptibility modeling using Radial Basis Function Classifier and Fisher’s linear discriminant function

Vietnam Journal of Earth Sciences, 2022-03

2022

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Development and application of hybrid artificial intelligence models for groundwater potential mapping and assessment

Vietnam Journal of Earth Sciences, 2022-08

2022

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Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis

Physics and chemistry of the earth. Parts A/B/C, 2024-12, Vol.136, p.103741, Article 103741

2024

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Estimation of ultimate bearing capacity of bored piles using machine learning models

Vietnam Journal of Earth Sciences, 2022-09

2022

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Using machine learning algorithms for predicting bridge vertical deflection

Proceedings of the Institution of Civil Engineers. Engineering and computational mechanics, 2024-03, Vol.177 (1), p.15-21

2024

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Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas

Stochastic environmental research and risk assessment, 2023-12, Vol.37 (12), p.4641-4660

2023

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On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils

Novel Time Series Bagging Based Hybrid Models for Predicting Historical Water Levels in the Mekong Delta Region, Vietnam

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive strength of concrete using rebound hammer field test

Development of multiclass alternating decision trees based models for landslide susceptibility mapping

Prediction of interlayer shear strength of double-layer asphalt using novel hybrid artificial intelligence models of ANFIS and metaheuristic optimizations

Ensemble Soft Computing Models for Prediction of Deflection of Steel–Concrete Composite Bridges

Modeling and Mapping of Flood Susceptibility at Que Son District, Quang Nam Province, Vietnam using CatBoost

GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

Landslide susceptibility mapping at sin Ho, Lai Chau province, Vietnam using ensemble models based on fuzzy unordered rules induction algorithm

Prediction of Interface Shear Stiffness Modulus of Asphalt Pavement using Bagging Ensemble-based Hybrid Machine Learning Model

Mapping of soil erosion susceptibility using advanced machine learning models at Nghe An, Vietnam

Prediction of Flash Flood Susceptibility of Hilly Terrain Using Deep Neural Network: A Case Study of Vietnam

Prediction of soil unconfined compressive strength using Artificial Neural Network Model

Bagging and Multilayer Perceptron Hybrid Intelligence Models Predicting the Swelling Potential of Soil

Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system

Landslide Susceptibility Mapping Using Single Machine Learning Models: A Case Study from Pithoragarh District, India

Using Decision Tree J48 Based Machine Learning Algorithm for Flood Susceptibility Mapping: A Case Study in Quang Binh Province, Vietnam

Prediction of white spot disease susceptibility in shrimps using decision trees based machine learning models

Flood susceptibility modeling using Radial Basis Function Classifier and Fisher’s linear discriminant function

Development and application of hybrid artificial intelligence models for groundwater potential mapping and assessment

Exploring deep learning models for roadside landslide prediction: Insights and implications from comparative analysis

Estimation of ultimate bearing capacity of bored piles using machine learning models

Using machine learning algorithms for predicting bridge vertical deflection

Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas

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