Mahdi Hasanipanah

According to our database, Mahdi Hasanipanah authored at least 45 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material.

Hooman Harandizadeh, Danial Jahed Armaghani, Mahdi Hasanipanah, Soheil Jahandari

Neural Comput. Appl., 2022

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

Jinbi Ye, Juhriyansyah Dalle, Ramin Nezami, Mahdi Hasanipanah, Danial Jahed Armaghani

Eng. Comput., 2022

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

Chuanhua Xu, Menad Nait Amar, Mohammed Abdelfetah Ghriga, Hocine Ouaer, Xiliang Zhang, Mahdi Hasanipanah

Eng. Comput., 2022

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

Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah

Eng. Comput., 2022

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

Mahdi Hasanipanah, Behrooz Keshtegar, Duc-Kien Thai, Trung Nguyen-Thoi

Eng. Comput., 2022

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

Juncheng Gao, Menad Nait Amar, Mohammad Reza Motahari, Mahdi Hasanipanah, Danial Jahed Armaghani

Eng. Comput., 2022

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

Hadi Fattahi, Mahdi Hasanipanah

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.

Jing Cao, Juncheng Gao, Hima Nikafshan Rad, Ahmed Salih Mohammed, Mahdi Hasanipanah, Jian Zhou

Eng. Comput., 2022

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

Mingxiang Cai, Hocine Ouaer, Ahmed Salih Mohammed, Xiaoling Chen, Menad Nait Amar, Mahdi Hasanipanah

Eng. Comput., 2022

Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models.

Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, Menad Nait Amar, Hocine Ouaer, Khaled Mohamed Khedher

Earth Sci. Informatics, 2022

2021

Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength.

Mahdi Hasanipanah, Debiao Meng, Behrooz Keshtegar, Trung Nguyen-Thoi, Duc-Kien Thai

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.

Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2021

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

Zhenyan Luo, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Kathirvel Brindhadevi, Mahmood M. D. Tahir

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.

Hongjun Jing, Hima Nikafshan Rad, Mahdi Hasanipanah, Danial Jahed Armaghani, Sultan Noman Qasem

Eng. Comput., 2021

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

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2021

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

Xiaohua Ding, Mahdi Hasanipanah, Hima Nikafshan Rad, Wei Zhou

Eng. Comput., 2021

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

Wusi Chen, Mahdi Hasanipanah, Hima Nikafshan Rad, Danial Jahed Armaghani, Mahmood M. D. Tahir

Eng. Comput., 2021

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

Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy

Eng. Comput., 2021

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

Wei Zhu, Hima Nikafshan Rad, Mahdi Hasanipanah

Appl. Soft Comput., 2021

2020

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

Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Neural Comput. Appl., 2020

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

Jian Zhou, Atefeh Nekouie, Chelang A. Arslan, Binh Thai Pham, Mahdi Hasanipanah

Eng. Comput., 2020

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

Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, Majid Khorami

Eng. Comput., 2020

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

Mahdi Hasanipanah, Wengang Zhang, Danial Jahed Armaghani, Hima Nikafshan Rad

IEEE Access, 2020

2019

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

Puteri Azura Sari, Meldi Suhatril, Normaniza Osman, Mohammed Abdullahi Mu'azu, Hamzeh Dehghani, Yadollah Sedghi, Maryam Safa, Mahdi Hasanipanah, Karzan Wakil, Majid Khorami, Stefan Djuric

Eng. Comput., 2019

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

S. Farid F. Mojtahedi, Isa Ebtehaj, Mahdi Hasanipanah, Hossein Bonakdari, Hassan Bakhshandeh Amnieh

Eng. Comput., 2019

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

Wenchao Jiang, Chelang A. Arslan, Mehran Soltani Tehrani, Majid Khorami, Mahdi Hasanipanah

Eng. Comput., 2019

2018

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

Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, Mohammad Saber Zamzam

Neural Comput. Appl., 2018

Airblast prediction through a hybrid genetic algorithm-ANN model.

Danial Jahed Armaghani, Mahdi Hasanipanah, Amir Mahdiyar, Muhd Zaimi Abd. Majid, Hassan Bakhshandeh Amnieh, Mahmood M. D. Tahir

Neural Comput. Appl., 2018

Feasibility of ICA in approximating ground vibration resulting from mine blasting.

Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad

Neural Comput. Appl., 2018

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

Hima Nikafshan Rad, Mahdi Hasanipanah, Mohammad Rezaei, Amin Lotfi Eghlim

Eng. Comput., 2018

Developing GPR model for forecasting the rock fragmentation in surface mines.

Wei Gao, Masoud Karbasi, Mahdi Hasanipanah, Xun Zhang, Jia Guo

Eng. Comput., 2018

2017

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

Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Muhd Zaimi Abd. Majid, Mahmood M. D. Tahir

Neural Comput. Appl., 2017

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

Khalil Taheri, Mahdi Hasanipanah, Saeid Bagheri Golzar, Muhd Zaimi Abd. Majid

Eng. Comput., 2017

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

Amir Mahdiyar, Mahdi Hasanipanah, Danial Jahed Armaghani, Behrouz Gordan, Arham Abdullah, Hossein Arab, Muhd Zaimi Abd. Majid

Eng. Comput., 2017

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

Mahdi Hasanipanah, Azam Shahnazar, Hossein Arab, Saeid Bagheri Golzar, Maryam Amiri

Eng. Comput., 2017

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

Mahdi Hasanipanah, Azam Shahnazar, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani

Eng. Comput., 2017

Prediction of blast-produced ground vibration using particle swarm optimization.

Mahdi Hasanipanah, Reyhaneh Naderi, Javad Kashir, Seyed Ahmad Noorani, Ali Zeynali Aaq Qaleh

Eng. Comput., 2017

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

Mahdi Hasanipanah, Saeid Bagheri Golzar, Iman Abbasi Larki, Masoume Yazdanpanah Maryaki, Tade Ghahremanians

Eng. Comput., 2017

Forecasting blast-induced ground vibration developing a CART model.

Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi

Eng. Comput., 2017

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

Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh

Eng. Comput., 2017

2016

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

Mahdi Hasanipanah, Majid Noorian-Bidgoli, Danial Jahed Armaghani, Hossein Khamesi

Eng. Comput., 2016

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

Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, Hassan Bakhshandeh Amnieh, Saber Ghoraba

Eng. Comput., 2016

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

Danial Jahed Armaghani, Mahdi Hasanipanah, Edy Tonnizam Mohamad

Eng. Comput., 2016

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

Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, Leyli Mohammad Khanli

Eng. Comput., 2016

2013

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

Masoud Monjezi, Mahdi Hasanipanah, Manoj Khandelwal

Neural Comput. Appl., 2013