Mahdi Hasanipanah

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 44

Top Topics

Top Venues

Neural Comput. Appl.

Earth Sci. Informatics

Appl. Soft Comput.

Publications

Juncheng Gao, Menad Nait Amar, Mohammad Reza Motahari, Mahdi Hasanipanah, Danial Jahed Armaghani
Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms. Eng. Comput. 38 (1) (2022)
Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, Menad Nait Amar, Hocine Ouaer, Khaled Mohamed Khedher
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models. Earth Sci. Informatics 15 (3) (2022)
Hooman Harandizadeh, Danial Jahed Armaghani, Mahdi Hasanipanah, Soheil Jahandari
A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material. Neural Comput. Appl. 34 (18) (2022)
Jinbi Ye, Juhriyansyah Dalle, Ramin Nezami, Mahdi Hasanipanah, Danial Jahed Armaghani
Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure. Eng. Comput. 38 (1) (2022)
Mingxiang Cai, Hocine Ouaer, Ahmed Salih Mohammed, Xiaoling Chen, Menad Nait Amar, Mahdi Hasanipanah
Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Eng. Comput. 38 (4) (2022)
Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm. Eng. Comput. 38 (3) (2022)
Mahdi Hasanipanah, Behrooz Keshtegar, Duc-Kien Thai, Trung Nguyen-Thoi
An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting. Eng. Comput. 38 (2) (2022)
Jing Cao, Juncheng Gao, Hima Nikafshan Rad, Ahmed Salih Mohammed, Mahdi Hasanipanah, Jian Zhou
A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock. Eng. Comput. 38 (5) (2022)
Chuanhua Xu, Menad Nait Amar, Mohammed Abdelfetah Ghriga, Hocine Ouaer, Xiliang Zhang, Mahdi Hasanipanah
Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock. Eng. Comput. 38 (2) (2022)
Hadi Fattahi, Mahdi Hasanipanah
An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting. Eng. Comput. 38 (3) (2022)
Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng. Comput. 37 (1) (2021)
Xiaohua Ding, Mahdi Hasanipanah, Hima Nikafshan Rad, Wei Zhou
Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm. Eng. Comput. 37 (3) (2021)
Zhenyan Luo, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Kathirvel Brindhadevi, Mahmood M. D. Tahir
GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles. Eng. Comput. 37 (2) (2021)
Hongjun Jing, Hima Nikafshan Rad, Mahdi Hasanipanah, Danial Jahed Armaghani, Sultan Noman Qasem
Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS. Eng. Comput. 37 (4) (2021)
Wusi Chen, Mahdi Hasanipanah, Hima Nikafshan Rad, Danial Jahed Armaghani, Mahmood M. D. Tahir
A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration. Eng. Comput. 37 (2) (2021)
Mahdi Hasanipanah, Debiao Meng, Behrooz Keshtegar, Nguyen Thoi Trung, Duc-Kien Thai
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength. Neural Comput. Appl. 33 (9) (2021)
Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy
A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine. Eng. Comput. 37 (4) (2021)
Wei Zhu, Hima Nikafshan Rad, Mahdi Hasanipanah
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting. Appl. Soft Comput. 108 (2021)
Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak. Eng. Comput. 37 (3) (2021)
Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, Majid Khorami
Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Eng. Comput. 36 (4) (2020)
Jian Zhou, Atefeh Nekouie, Chelang A. Arslan, Binh Thai Pham, Mahdi Hasanipanah
Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. Eng. Comput. 36 (2) (2020)
Mahdi Hasanipanah, Wengang Zhang, Danial Jahed Armaghani, Hima Nikafshan Rad
The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock. IEEE Access 8 (2020)
Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining. Neural Comput. Appl. 32 (18) (2020)
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
An intelligent based-model role to simulate the factor of safe slope by support vector regression. Eng. Comput. 35 (4) (2019)
Wenchao Jiang, Chelang A. Arslan, Mehran Soltani Tehrani, Majid Khorami, Mahdi Hasanipanah
Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system. Eng. Comput. 35 (4) (2019)
S. Farid F. Mojtahedi, Isa Ebtehaj, Mahdi Hasanipanah, Hossein Bonakdari, Hassan Bakhshandeh Amnieh
Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting. Eng. Comput. 35 (1) (2019)
Wei Gao, Masoud Karbasi, Mahdi Hasanipanah, Xun Zhang, Jia Guo
Developing GPR model for forecasting the rock fragmentation in surface mines. Eng. Comput. 34 (2) (2018)
Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, Mohammad Saber Zamzam
Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting. Neural Comput. Appl. 30 (4) (2018)
Danial Jahed Armaghani, Mahdi Hasanipanah, Amir Mahdiyar, Muhd Zaimi Abd. Majid, Hassan Bakhshandeh Amnieh, Mahmood M. D. Tahir
Airblast prediction through a hybrid genetic algorithm-ANN model. Neural Comput. Appl. 29 (9) (2018)
Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad
Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Comput. Appl. 29 (9) (2018)
Hima Nikafshan Rad, Mahdi Hasanipanah, Mohammad Rezaei, Amin Lotfi Eghlim
Developing a least squares support vector machine for estimating the blast-induced flyrock. Eng. Comput. 34 (4) (2018)
Mahdi Hasanipanah, Reyhaneh Naderi, Javad Kashir, Seyed Ahmad Noorani, Ali Zeynali Aaq Qaleh
Prediction of blast-produced ground vibration using particle swarm optimization. Eng. Comput. 33 (2) (2017)
Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi
Forecasting blast-induced ground vibration developing a CART model. Eng. Comput. 33 (2) (2017)
Amir Mahdiyar, Mahdi Hasanipanah, Danial Jahed Armaghani, Behrouz Gordan, Arham Abdullah, Hossein Arab, Muhd Zaimi Abd. Majid
A Monte Carlo technique in safety assessment of slope under seismic condition. Eng. Comput. 33 (4) (2017)
Mahdi Hasanipanah, Saeid Bagheri Golzar, Iman Abbasi Larki, Masoume Yazdanpanah Maryaki, Tade Ghahremanians
Estimation of blast-induced ground vibration through a soft computing framework. Eng. Comput. 33 (4) (2017)
Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Muhd Zaimi Abd. Majid, Mahmood M. D. Tahir
Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. Neural Comput. Appl. 28 (S-1) (2017)
Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Eng. Comput. 33 (2) (2017)
Mahdi Hasanipanah, Azam Shahnazar, Hossein Arab, Saeid Bagheri Golzar, Maryam Amiri
Developing a new hybrid-AI model to predict blast-induced backbreak. Eng. Comput. 33 (3) (2017)
Khalil Taheri, Mahdi Hasanipanah, Saeid Bagheri Golzar, Muhd Zaimi Abd. Majid
A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration. Eng. Comput. 33 (3) (2017)
Mahdi Hasanipanah, Azam Shahnazar, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani
Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model. Eng. Comput. 33 (1) (2017)
Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, Leyli Mohammad Khanli
A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Eng. Comput. 32 (4) (2016)
Mahdi Hasanipanah, Majid Noorian-Bidgoli, Danial Jahed Armaghani, Hossein Khamesi
Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling. Eng. Comput. 32 (4) (2016)
Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, Hassan Bakhshandeh Amnieh, Saber Ghoraba
Several non-linear models in estimating air-overpressure resulting from mine blasting. Eng. Comput. 32 (3) (2016)
Danial Jahed Armaghani, Mahdi Hasanipanah, Edy Tonnizam Mohamad
A combination of the ICA-ANN model to predict air-overpressure resulting from blasting. Eng. Comput. 32 (1) (2016)
Masoud Monjezi, Mahdi Hasanipanah, Manoj Khandelwal
Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput. Appl. 22 (7-8) (2013)