Jian Zhou

Orcid: 0000-0003-4769-4487

Affiliations:
  • Central South University, School of Resources and Safety Engineering, Changsha, China


According to our database1, Jian Zhou authored at least 28 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting.
Artif. Intell. Rev., January, 2024

Towards lightweight excavation: Machine learning exploration of rock size distribution prediction after tunnel blasting.
J. Comput. Sci., 2024

2023
Hybridized random forest with population-based optimization for predicting shear properties of rock fractures.
J. Comput. Sci., September, 2023

Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer.
Earth Sci. Informatics, September, 2023

2022
Analysis and prediction of diaphragm wall deflection induced by deep braced excavations using finite element method and artificial neural network optimized by metaheuristic algorithms.
Reliab. Eng. Syst. Saf., 2022

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting.
Neural Comput. Appl., 2022

Performance evaluation of hybrid GA-SVM and GWO-SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation.
Eng. Comput., 2022

Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion.
Eng. Comput., 2022

Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass.
Eng. Comput., 2022

Improved Levenberg-Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams.
Eng. Comput., 2022

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance.
Eng. Comput., 2022

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration.
Eng. Comput., 2022

A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock.
Eng. Comput., 2022

Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential.
Artif. Intell. Rev., 2022

2021
Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model.
Neural Comput. Appl., 2021

Assessment of Longstanding Effects of Fly Ash and Silica Fume on the Compressive Strength of Concrete Using Extreme Learning Machine and Artificial Neural Network.
J. Adv. Eng. Comput., 2021

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting.
Eng. Comput., 2021

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm.
Eng. Comput., 2021

Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models.
Eng. Comput., 2021

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles.
Eng. Comput., 2021

Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill.
Eng. Comput., 2021

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting.
Eng. Comput., 2021

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate.
Eng. Appl. Artif. Intell., 2021

2020
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm.
Eng. Comput., 2020

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network.
Eng. Comput., 2020

A refreshing view of soft computing models for predicting the deflection of reinforced concrete beams.
Appl. Soft Comput., 2020

2019
Influence of Polypropylene Fiber Reinforcement on Tensile Behavior and Failure Mode of Tailings Cemented Paste Backfill.
IEEE Access, 2019

2016
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods.
J. Comput. Civ. Eng., 2016


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