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Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

Di xue qian yuan., 2021-05, Vol.12 (3), p.101091, Article 101091

2021

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Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

International journal of rock mechanics and mining sciences (Oxford, England : 1997), 2021-09, Vol.145, p.104856, Article 104856

2021

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Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations

Tunnelling and underground space technology, 2022-06, Vol.124, p.104494, Article 104494

2022

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A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

Neural computing & applications, 2022-04, Vol.34 (8), p.6273-6288

2022

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Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms

Tunnelling and underground space technology, 2022-08, Vol.126, p.104570, Article 104570

2022

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Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization

Underground space (Beijing), 2021-10, Vol.6 (5), p.506-515

2021

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Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm

Acta geotechnica, 2022-04, Vol.17 (4), p.1343-1366

2022

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Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique

Underground space (Beijing), 2024-12, Vol.19, p.101-118

2024

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A true triaxial strength criterion for rocks by gene expression programming

Journal of Rock Mechanics and Geotechnical Engineering, 2023-10, Vol.15 (10), p.2508-2520

2023

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Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique

International journal of rock mechanics and mining sciences (Oxford, England : 1997), 2021-07, Vol.143, p.104794, Article 104794

2021

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Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams

Materials, 2023-05, Vol.16 (11), p.4034

2023

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Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method

Geomechanics and geophysics for geo-energy and geo-resources., 2021-08, Vol.7 (3), Article 89

2021

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Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models

Minerals & metallurgical processing, 2023-04, Vol.40 (2), p.617-635

2023

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Mean Block Size Prediction in Rock Blast Fragmentation Using TPE-Tree-Based Model Approach with SHapley Additive exPlanations

Minerals & metallurgical processing, 2024-08, Vol.41 (5), p.2325-2340

2024

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Short-Term Rockburst Damage Assessment in Burst-Prone Mines: An Explainable XGBOOST Hybrid Model with SCSO Algorithm

Rock mechanics and rock engineering, 2023-12, Vol.56 (12), p.8745-8770

2023

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Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model

Acta geotechnica, 2023-12, Vol.18 (12), p.6655-6685

2023

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Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

Applied sciences, 2023-02, Vol.13 (4), p.2574

2023

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A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects

Applied sciences, 2024-06, Vol.14 (11), p.4512

2024

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Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Engineering with computers, 2022-12, Vol.38 (Suppl 5), p.4145-4162

2022

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Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation

Engineering with computers, 2022-12, Vol.38 (Suppl 5), p.4197-4215

2022

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Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

Engineering applications of artificial intelligence, 2021-01, Vol.97, p.104015, Article 104015

2021

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State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

The Artificial intelligence review, 2024, Vol.57 (1), p.5, Article 5

2024

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Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential

The Artificial intelligence review, 2022-10, Vol.55 (7), p.5673-5705

2022

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Microseismic Location in Hardrock Metal Mines by Machine Learning Models Based on Hyperparameter Optimization Using Bayesian Optimizer

Rock mechanics and rock engineering, 2023-12, Vol.56 (12), p.8771-8788

2023

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Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting

Natural resources research (New York, N.Y.), 2022-10, Vol.31 (5), p.3017-3039

2022

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Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting

Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms

Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization

Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm

Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique

A true triaxial strength criterion for rocks by gene expression programming

Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique

Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams

Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method

Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models

Mean Block Size Prediction in Rock Blast Fragmentation Using TPE-Tree-Based Model Approach with SHapley Additive exPlanations

Short-Term Rockburst Damage Assessment in Burst-Prone Mines: An Explainable XGBOOST Hybrid Model with SCSO Algorithm

Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model

Hybrid Random Forest-Based Models for Earth Pressure Balance Tunneling-Induced Ground Settlement Prediction

A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential

Microseismic Location in Hardrock Metal Mines by Machine Learning Models Based on Hyperparameter Optimization Using Bayesian Optimizer

Six Novel Hybrid Extreme Learning Machine–Swarm Intelligence Optimization (ELM–SIO) Models for Predicting Backbreak in Open-Pit Blasting

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