Mahdi Hasanipanah

According to our database1, Mahdi Hasanipanah authored at least 42 papers between 2013 and 2022.

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

Timeline

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Bibliography

2022
Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure.
Eng. Comput., 2022

Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock.
Eng. Comput., 2022

A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm.
Eng. Comput., 2022

An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting.
Eng. Comput., 2022

Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms.
Eng. Comput., 2022

An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting.
Eng. Comput., 2022

Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential.
Eng. Comput., 2022

2021
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength.
Neural Comput. Appl., 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

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles.
Eng. Comput., 2021

Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS.
Eng. Comput., 2021

Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak.
Eng. Comput., 2021

Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm.
Eng. Comput., 2021

A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration.
Eng. Comput., 2021

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.
Eng. Comput., 2021

A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting.
Appl. Soft Comput., 2021

2020
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining.
Neural Comput. Appl., 2020

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

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm.
Eng. Comput., 2020

The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock.
IEEE Access, 2020

2019
An intelligent based-model role to simulate the factor of safe slope by support vector regression.
Eng. Comput., 2019

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting.
Eng. Comput., 2019

Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system.
Eng. Comput., 2019

2018
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting.
Neural Comput. Appl., 2018

Airblast prediction through a hybrid genetic algorithm-ANN model.
Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.
Neural Comput. Appl., 2018

Developing a least squares support vector machine for estimating the blast-induced flyrock.
Eng. Comput., 2018

Developing GPR model for forecasting the rock fragmentation in surface mines.
Eng. Comput., 2018

2017
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting.
Neural Comput. Appl., 2017

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration.
Eng. Comput., 2017

A Monte Carlo technique in safety assessment of slope under seismic condition.
Eng. Comput., 2017

Developing a new hybrid-AI model to predict blast-induced backbreak.
Eng. Comput., 2017

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model.
Eng. Comput., 2017

Prediction of blast-produced ground vibration using particle swarm optimization.
Eng. Comput., 2017

Estimation of blast-induced ground vibration through a soft computing framework.
Eng. Comput., 2017

Forecasting blast-induced ground vibration developing a CART model.
Eng. Comput., 2017

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting.
Eng. Comput., 2017

2016
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling.
Eng. Comput., 2016

Several non-linear models in estimating air-overpressure resulting from mine blasting.
Eng. Comput., 2016

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting.
Eng. Comput., 2016

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure.
Eng. Comput., 2016

2013
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network.
Neural Comput. Appl., 2013


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