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Analysis of strength development in cement-treated soils under different curing conditions through microstructural and chemical investigations

Construction & building materials, 2018-03, Vol.166, p.634-646

2018

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Strength development of cement-treated soils: Effects of water content, carbonation, and pozzolanic reaction under drying curing condition

Construction & building materials, 2017-03, Vol.134, p.703-712

2017

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Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach

Construction & building materials, 2022-03, Vol.323, p.126578, Article 126578

2022

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Physicomechanical properties and durability of a new lightweight porous mortar utilizing woodchips

Journal of cleaner production, 2019-10, Vol.235, p.158-165

2019

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Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm

PloS one, 2024-03, Vol.19 (3), p.e0297364-e0297364

2024

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Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Mathematical problems in engineering, 2021, Vol.2021, p.1-15

2021

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Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

The Science of the total environment, 2019-08, Vol.679, p.172-184

2019

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Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam – A Multidisciplinary Approach

Journal of disaster research, 2021-06, Vol.16 (4), p.501-511

2021

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GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

Water (Basel), 2020-03, Vol.12 (3), p.683

2020

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Difference in Strength Development between Cement-Treated Sand and Mortar with Various Cement Types and Curing Temperatures

Materials, 2020-11, Vol.13 (21), p.4999

2020

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Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

Geocarto international, 2022-02, Vol.37 (3), p.735-757

2022

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Long-term mechanical properties and durability of high-strength concrete containing high-volume local fly ash as a partial cement substitution

Results in engineering, 2023-06, Vol.18, p.101113, Article 101113

2023

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Strength development of cement-treated sand using different cement types cured at different temperatures

MATEC Web of Conferences, 2018, Vol.195, p.1006

2018

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Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

Geocarto international, 2021-09, Vol.36 (15), p.1685-1708

2021

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Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Applied sciences, 2020-04, Vol.10 (7), p.2469

2020

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Soft-computing techniques for prediction of soils consolidation coefficient

Catena (Giessen), 2020-12, Vol.195, p.104802, Article 104802

2020

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A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

Sustainability, 2020, Vol.12 (6), p.2218

2020

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A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

Transportation Geotechnics, 2021-03, Vol.27, p.100508, Article 100508

2021

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A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Water (Basel), 2020-01, Vol.12 (1), p.239

2020

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Investigation of ANN architecture for predicting residual strength of clay soil

Neural computing & applications, 2022-11, Vol.34 (21), p.19253-19268

2022

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Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods

Ground water, 2021-09, Vol.59 (5), p.745-760

2021

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Application of extreme learning machine in behavior of beam to column connections

Structures (Oxford), 2020-06, Vol.25, p.861-867

2020

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A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient

Scientific programming, 2021, Vol.2021, p.1-13

2021

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Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer

Structures (Oxford), 2020-10, Vol.27, p.118-127

2020

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A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

Sustainability, 2019-11, Vol.11 (22), p.6323

2019

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Analysis of strength development in cement-treated soils under different curing conditions through microstructural and chemical investigations

Strength development of cement-treated soils: Effects of water content, carbonation, and pozzolanic reaction under drying curing condition

Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach

Physicomechanical properties and durability of a new lightweight porous mortar utilizing woodchips

Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

Identification, Monitoring, and Assessment of an Active Landslide in Tavan-Hauthao, Sapa, Laocai, Vietnam – A Multidisciplinary Approach

GIS Based Hybrid Computational Approaches for Flash Flood Susceptibility Assessment

Difference in Strength Development between Cement-Treated Sand and Mortar with Various Cement Types and Curing Temperatures

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

Long-term mechanical properties and durability of high-strength concrete containing high-volume local fly ash as a partial cement substitution

Strength development of cement-treated sand using different cement types cured at different temperatures

Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

Soft-computing techniques for prediction of soils consolidation coefficient

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling

A Comparative Study of Kernel Logistic Regression, Radial Basis Function Classifier, Multinomial Naïve Bayes, and Logistic Model Tree for Flash Flood Susceptibility Mapping

Investigation of ANN architecture for predicting residual strength of clay soil

Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods

Application of extreme learning machine in behavior of beam to column connections

A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient

Computational parameter identification of strongest influence on the shear resistance of reinforced concrete beams by fiber reinforcement polymer

A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping

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