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Mahdi Hasanipanah
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2020 – today
- 2022
- [j45]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): 1659-1669 (2022) - [j44]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): 129-140 (2022) - [j43]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): 497-511 (2022) - [j42]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): 1257-1269 (2022) - [j41]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): 1819-1833 (2022) - [j40]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): 2209-2220 (2022) - [j39]Hadi Fattahi
, Mahdi Hasanipanah
:
An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting. Eng. Comput. 38(3): 2619-2631 (2022) - [j38]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): 3611-3623 (2022) - [j37]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): 3829-3845 (2022) - [j36]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): 15755-15779 (2022) - 2021
- [j35]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: 107434 (2021) - [j34]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): 265-274 (2021) - [j33]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): 823-831 (2021) - [j32]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): 1455-1471 (2021) - [j31]Mahdi Hasanipanah
, Hassan Bakhshandeh Amnieh:
Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak. Eng. Comput. 37(3): 1879-1893 (2021) - [j30]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): 2273-2284 (2021) - [j29]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): 2717-2734 (2021) - [j28]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): 3221-3235 (2021) - [j27]Mahdi Hasanipanah
, Debiao Meng
, Behrooz Keshtegar, Trung Nguyen-Thoi, Duc-Kien Thai
:
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength. Neural Comput. Appl. 33(9): 4205-4215 (2021) - 2020
- [j26]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: 57148-57157 (2020) - [j25]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): 703-712 (2020) - [j24]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): 1379-1391 (2020) - [j23]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): 14681-14699 (2020)
2010 – 2019
- 2019
- [j22]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): 47-56 (2019) - [j21]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): 1203-1211 (2019) - [j20]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): 1521-1531 (2019) - 2018
- [j19]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): 339-345 (2018) - [j18]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): 709-717 (2018) - [j17]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): 457-465 (2018) - [j16]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): 619-629 (2018) - [j15]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): 1015-1024 (2018) - 2017
- [j14]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): 23-31 (2017) - [j13]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): 173-179 (2017) - [j12]Nazanin Fouladgar, Mahdi Hasanipanah
, Hassan Bakhshandeh Amnieh:
Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Eng. Comput. 33(2): 181-189 (2017) - [j11]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): 307-316 (2017) - [j10]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): 349-359 (2017) - [j9]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): 689-700 (2017) - [j8]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): 807-817 (2017) - [j7]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): 951-959 (2017) - [j6]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): 1043-1050 (2017) - 2016
- [j5]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): 155-171 (2016) - [j4]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): 441-455 (2016) - [j3]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): 631-644 (2016) - [j2]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): 705-715 (2016) - 2013
- [j1]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): 1637-1643 (2013)
Coauthor Index
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