Mahdi Hasanipanah

发表

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

Masoud Monjezi, Manoj Khandelwal, Mahdi Hasanipanah, 2012, Neural Computing and Applications.

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

Masoud Monjezi, Mahdi Hasanipanah, Danial Jahed Armaghani, 2016, Environmental Earth Sciences.

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

Masoud Monjezi, Mahdi Hasanipanah, Danial Jahed Armaghani, 2015 .

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Edy Tonnizam Mohamad, 2015, Engineering with Computers.

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

Mahdi Hasanipanah, Jian Zhou, Binh Thai Pham, 2019, Engineering with Computers.

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, 2016, Engineering with Computers.

Prediction of Vibration Velocity Generated in Mine Blasting Using Support Vector Regression Improved by Optimization Algorithms

Mahdi Hasanipanah, Hima Nikafshan Rad, Haiqing Yang, 2019, Natural Resources Research.

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, 2017, Neural Computing and Applications.

A Monte Carlo technique in safety assessment of slope under seismic condition

Mahdi Hasanipanah, Danial Jahed Armaghani, Behrouz Gordan, 2017, Engineering with Computers.

Developing a New Computational Intelligence Approach for Approximating the Blast-Induced Ground Vibration

Pijush Samui, Mahdi Hasanipanah, Deepak Kumar, 2020, Applied Sciences.

Developing GPR model for forecasting the rock fragmentation in surface mines

Wei Gao, Jia Guo, Mahdi Hasanipanah, 2018, Engineering with Computers.

A SVR-GWO technique to minimize flyrock distance resulting from blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Mohammadreza Koopialipoor, 2020, Bulletin of Engineering Geology and the Environment.

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Roohollah Shirani Faradonbeh, 2016, Rock Mechanics and Rock Engineering.

Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system

Mahdi Hasanipanah, Wenchao Jiang, Majid Khorami, 2018, Engineering with Computers.

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

Mahdi Hasanipanah, Jian Zhou, Chelang A. Arslan, 2019, Engineering with Computers.

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm

Mahdi Hasanipanah, Danial Jahed Armaghani, Dieu Tien Bui, 2020, Engineering with Computers.

An intelligent based-model role to simulate the factor of safe slope by support vector regression

Mahdi Hasanipanah, Karzan Wakil, Maryam Safa, 2018, Engineering with Computers.

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, 2016, Engineering with Computers.

Automated design of a new integrated intelligent computing paradigm for constructing a constitutive model applicable to predicting rock fractures

Mahdi Hasanipanah, Menad Nait Amar, Mohammad Reza Motahari, 2020, Engineering with Computers.

Forecasting blast-induced ground vibration developing a CART model

Masoud Monjezi, Mahdi Hasanipanah, Danial Jahed Armaghani, 2017, Engineering with Computers.

Developing a least squares support vector machine for estimating the blast-induced flyrock

Mahdi Hasanipanah, Mohammad Rezaei, Amin Lotfi Eghlim, 2017, Engineering with Computers.

Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms

Juncheng Gao, Mahdi Hasanipanah, Danial Jahed Armaghani, 2020, Engineering with Computers.

A GMDH Predictive Model to Predict Rock Material Strength Using Three Non-destructive Tests

Jian Zhou, Mahdi Hasanipanah, Danial Jahed Armaghani, 2020, Journal of Nondestructive Evaluation.

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

Mahdi Hasanipanah, Hima Nikafshan Rad, Danial Jahed Armaghani, 2017, Environmental Earth Sciences.

Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure

Mahdi Hasanipanah, Danial Jahed Armaghani, Juhriyansyah Dalle, 2020, Engineering with Computers.

Several non-linear models in estimating air-overpressure resulting from mine blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, 2015, Engineering with Computers.

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

Mahdi Hasanipanah, Deepak Kumar, Danial Jahed Armaghani, 2020, Engineering with Computers.

A Fuzzy Rule-Based Approach to Address Uncertainty in Risk Assessment and Prediction of Blast-Induced Flyrock in a Quarry

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, M. Hasanipanah, 2020, Natural Resources Research.

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

Khalil Taheri, Mahdi Hasanipanah, Muhd Zaimi Abd. Majid, 2016, Engineering with Computers.

Feasibility of ICA in approximating ground vibration resulting from mine blasting

Mahdi Hasanipanah, Danial Jahed Armaghani, Edy Tonnizam Mohamad, 2018, Neural Computing and Applications.

Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Maryam Amiri, 2020, Neural Computing and Applications.

Prediction of blast-produced ground vibration using particle swarm optimization

Mahdi Hasanipanah, Seyed Ahmad Noorani, Ali Zeynali Aaq Qaleh, 2017, Engineering with Computers.

On the Use of Neuro-Swarm System to Forecast the Pile Settlement

Panagiotis G. Asteris, Mahdi Hasanipanah, Danial Jahed Armaghani, 2020 .

The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock

Mahdi Hasanipanah, Danial Jahed Armaghani, Hima Nikafshan Rad, 2020, IEEE Access.

Developing a new hybrid-AI model to predict blast-induced backbreak

Mahdi Hasanipanah, Maryam Amiri, Hossein Arab, 2017, Engineering with Computers.

Estimation of blast-induced ground vibration through a soft computing framework

Mahdi Hasanipanah, Saeid Bagheri Golzar, Iman Abbasi Larki, 2017, Engineering with Computers.

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

Mahdi Hasanipanah, Maryam Amiri, Leili Mohammad Khanli, 2016, Engineering with Computers.

Airblast prediction through a hybrid genetic algorithm-ANN model

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, 2018, Neural Computing and Applications.

ORELM: A Novel Machine Learning Approach for Prediction of Flyrock in Mine Blasting

Mahdi Hasanipanah, Kathirvel Brindhadevi, Hassan Bakhshandeh Amnieh, 2019, Natural Resources Research.

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, 2016, Neural Computing and Applications.

Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, 2020, Engineering with Computers.

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Nazanin Fouladgar, 2017, Engineering with Computers.

Feasibility of indirect measurement of bearing capacity of driven piles based on a computational intelligence technique

Mahdi Hasanipanah, Loke Kok Foong, Hassan Bakhshandeh Amnieh, 2020 .

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting

Hossein Bonakdari, Mahdi Hasanipanah, Isa Ebtehaj, 2018, Engineering with Computers.

A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm

Panagiotis G. Asteris, Mahdi Hasanipanah, Ahmed Mohammed, 2020, Engineering with Computers.

Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine

Mahdi Hasanipanah, Iman Ahmadianfar, Mehdi Jamei, 2021, Journal of Rock Mechanics and Geotechnical Engineering.

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

Mahdi Hasanipanah, Danial Jahed Armaghani, Sultan Noman Qasem, 2020, Eng. Comput..

Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential

Mahdi Hasanipanah, Menad Nait Amar, Xiaoling Chen, 2021, Engineering with Computers.

Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

Mahdi Hasanipanah, Danial Jahed Armaghani, Nor Zurairahetty Mohd Yunus, 2021 .

Potential efficacy and application of a new statistical meta based-model to predict TBM performance

Mahdi Hasanipanah, Saffet Yagiz, Behrooz Keshtegar, 2021 .

A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting

Mahdi Hasanipanah, Hima Nikafshan Rad, Wei Zhu, 2021, Appl. Soft Comput..

Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models

Mahdi Hasanipanah, Danial Jahed Armaghani, Rawaz Kurda, 2021 .

A novel solution for simulating air overpressure resulting from blasting using an efficient cascaded forward neural network

Mahdi Hasanipanah, Jie Zeng, Mehdi Jamei, 2021, Engineering with Computers.

Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks

Panagiotis G. Asteris, Mahdi Hasanipanah, Mohsen Hajihassani, 2021, Transportation Geotechnics.

A new development of ANFIS-Based Henry gas solubility optimization technique for prediction of soil shear strength

Mahdi Hasanipanah, Danial Jahed Armaghani, Binh Thai Pham, 2021, Transportation Geotechnics.

Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms

Mahdi Hasanipanah, Mohammad Reza Motahari, Menad Nait Amar, 2021, Engineering with Computers.

Investigating correlation of physico-mechanical parameters and P-wave velocity of rocks: a comparative intelligent study

Mahdi Hasanipanah, Hadi Fattahi, Nastaran Zandy Ilghani, 2021 .

Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO

Mahdi Hasanipanah, Mahmood Md. Tahir, Dieu Tien Bui, 2019, Natural Resources Research.

On the metaheuristic models for the prediction of cement-metakaolin mortars compressive strength

Liborio Cavaleri, Panagiotis G. Asteris, Manoj Khandelwal, 2020 .

A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration

Mahdi Hasanipanah, Hima Nikafshan Rad, Danial Jahed Armaghani, 2019, Engineering with Computers.

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles

Mahdi Hasanipanah, Kathirvel Brindhadevi, Hassan Bakhshandeh Amnieh, 2019, Engineering with Computers.