Author Info
Name
Affiliation
Papers
M. MONJEZI
Faculty of Engineering, Tarbiat Modares University, Tehran, Iran
20
Collaborators
Citations 
PageRank 
40
271
19.36
Referers 
Referees 
References 
409
230
183
Search Limit
100409
Title
Citations
PageRank
Year
Evaluation of effect of rock mass properties on fragmentation using robust techniques.00.342018
Uniaxial compressive strength prediction through a new technique based on gene expression programming.40.512018
Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm.40.432018
Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models.50.452017
Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms.40.422017
An optimized ANN model based on genetic algorithm for predicting ripping production.220.922017
Classification and regression tree technique in estimating peak particle velocity caused by blasting.40.432017
Forecasting blast-induced ground vibration developing a CART model.200.772017
Prediction of seismic slope stability through combination of particle swarm optimization and neural network342.232016
Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques.110.632016
Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation181.182016
Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting.281.462016
An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining.100.732014
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network.351.922013
Backbreak prediction in the Chadormalu iron mine using artificial neural network.151.122013
Evaluation of effect of blast design parameters on flyrock using artificial neural networks.90.782013
Evaluation of flyrock phenomenon due to blasting operation by support vector machine.141.192012
Prediction of rock fragmentation due to blasting using artificial neural network161.382011
Developing a new fuzzy model to predict burden from rock geomechanical properties40.492011
Prediction of backbreak in open-pit blasting using fuzzy set theory141.972010