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Supervised Learning Methods for Modeling Concrete Compressive Strength Prediction at High Temperature

Materials, 2021-04, Vol.14 (8), p.1983

2021

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Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction

Applied sciences, 2019-01, Vol.9 (2), p.233

2019

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Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques

Applied sciences, 2021-07, Vol.11 (13), p.6167

2021

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Prediction of slope stability using Tree Augmented Naive-Bayes classifier: modeling and performance evaluation

Mathematical biosciences and engineering : MBE, 2022-01, Vol.19 (5), p.4526-4546

2022

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Evaluating Seismic Soil Liquefaction Potential Using Bayesian Belief Network and C4.5 Decision Tree Approaches

Applied sciences, 2019-10, Vol.9 (20), p.4226

2019

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Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Frontiers of Structural and Civil Engineering, 2021-04, Vol.15 (2), p.490-505

2021

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Prediction of Ultimate Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Gaussian Process Regression Approach

Applied sciences, 2021-11, Vol.11 (21), p.10317

2021

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Rockburst Hazard Prediction in Underground Projects Using Two Intelligent Classification Techniques: A Comparative Study

Symmetry (Basel), 2021-04, Vol.13 (4), p.632

2021

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Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier

Complexity (New York, N.Y.), 2022, Vol.2022 (1)

2022

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Stability risk assessment of slopes using logistic model tree based on updated case histories

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (12), p.21229-21245

2023

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A hybrid approach for evaluating CPT-based seismic soil liquefaction potential using Bayesian belief networks

Journal of Central South University, 2020-02, Vol.27 (2), p.500-516

2020

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Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

Frontiers of Structural and Civil Engineering, 2021-02, Vol.15 (1), p.80-98

2021

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A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical data

Frontiers of Structural and Civil Engineering, 2020, Vol.14 (6), p.1476-1491

2020

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Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees

Applied sciences, 2020-09, Vol.10 (18), p.6486

2020

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Assessment of Soil Liquefaction Potential in Kamra, Pakistan

Sustainability, 2018-11, Vol.10 (11), p.4223

2018

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Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (6), p.9233-9252

2021

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Assessing Potable Water Quality and Identifying Areas of Waterborne Diarrheal and Fluorosis Health Risks Using Spatial Interpolation in Peshawar, Pakistan

Water (Basel), 2020-08, Vol.12 (8), p.2163

2020

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Predicting Subgrade Resistance Value of Hydrated Lime-Activated Rice Husk Ash-Treated Expansive Soil: A Comparison between M5P, Support Vector Machine, and Gaussian Process Regression Algorithms

Mathematics (Basel), 2022-10, Vol.10 (19), p.3432

2022

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Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-Based Models

Computer modeling in engineering & sciences, 2023, Vol.137 (1), p.455-487

2023

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基于贝叶斯置信网络的CPT地震液化势混合评估方法

中南大学学报（英文版）, 2020, Vol.27 (2), p.500-516

2020

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Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques

Multiscale and Multidisciplinary Modeling, Experiments and Design, 2024-03, Vol.7 (1), p.217-231

2024

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LLDV-a Comprehensive Framework for Assessing the Effects of Liquefaction Land Damage Potential

2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2019, p.527-533

2019

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Supervised Learning Methods for Modeling Concrete Compressive Strength Prediction at High Temperature

Interpretive Structural Modeling and MICMAC Analysis for Identifying and Benchmarking Significant Factors of Seismic Soil Liquefaction

Development of Prediction Models for Shear Strength of Rockfill Material Using Machine Learning Techniques

Prediction of slope stability using Tree Augmented Naive-Bayes classifier: modeling and performance evaluation

Evaluating Seismic Soil Liquefaction Potential Using Bayesian Belief Network and C4.5 Decision Tree Approaches

Application of machine learning algorithms for the evaluation of seismic soil liquefaction potential

Prediction of Ultimate Bearing Capacity of Shallow Foundations on Cohesionless Soils: A Gaussian Process Regression Approach

Rockburst Hazard Prediction in Underground Projects Using Two Intelligent Classification Techniques: A Comparative Study

Prediction of Rockburst Intensity Grade in Deep Underground Excavation Using Adaptive Boosting Classifier

Stability risk assessment of slopes using logistic model tree based on updated case histories

A hybrid approach for evaluating CPT-based seismic soil liquefaction potential using Bayesian belief networks

Evaluation of liquefaction-induced lateral displacement using Bayesian belief networks

A step forward towards a comprehensive framework for assessing liquefaction land damage vulnerability: Exploration from historical data

Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees

Assessment of Soil Liquefaction Potential in Kamra, Pakistan

Probabilistic evaluation of CPT-based seismic soil liquefaction potential: towards the integration of interpretive structural modeling and bayesian belief network

Assessing Potable Water Quality and Identifying Areas of Waterborne Diarrheal and Fluorosis Health Risks Using Spatial Interpolation in Peshawar, Pakistan

Predicting Subgrade Resistance Value of Hydrated Lime-Activated Rice Husk Ash-Treated Expansive Soil: A Comparison between M5P, Support Vector Machine, and Gaussian Process Regression Algorithms

Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-Based Models

基于贝叶斯置信网络的CPT地震液化势混合评估方法

Unconfined compressive strength prediction of stabilized expansive clay soil using machine learning techniques

LLDV-a Comprehensive Framework for Assessing the Effects of Liquefaction Land Damage Potential

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