default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMahdi Hasanipanah
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:20 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
