Masoud Monjezi
Orcid: 0000-0001-6376-9181
According to our database1,
Masoud Monjezi
authored at least 24 papers
between 2010 and 2023.
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Bibliography
2023
Simulation of induced flyrock due to open-pit blasting using the PCA-CART hybrid modeling.
Simul. Model. Pract. Theory, December, 2023
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation.
Eng. Comput., April, 2023
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
Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations.
Eng. Comput., 2022
2018
Uniaxial compressive strength prediction through a new technique based on gene expression programming.
Neural Comput. Appl., 2018
Evaluation of effect of rock mass properties on fragmentation using robust techniques.
Eng. Comput., 2018
Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm.
Eng. Comput., 2018
2017
Neural Comput. Appl., 2017
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models.
Eng. Comput., 2017
Classification and regression tree technique in estimating peak particle velocity caused by blasting.
Eng. Comput., 2017
Eng. Comput., 2017
Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms.
Eng. Comput., 2017
2016
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting.
Eng. Comput., 2016
Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques.
Eng. Comput., 2016
Prediction of seismic slope stability through combination of particle swarm optimization and neural network.
Eng. Comput., 2016
Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation.
Eng. Comput., 2016
2014
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining.
Neural Comput. Appl., 2014
2013
Evaluation of effect of blast design parameters on flyrock using artificial neural networks.
Neural Comput. Appl., 2013
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
2012
Evaluation of flyrock phenomenon due to blasting operation by support vector machine.
Neural Comput. Appl., 2012
2011
Eng. Comput., 2011
Expert Syst. Appl., 2011
2010
Expert Syst. Appl., 2010