Mahdi Hasanipanah

46 papers Journal 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A sliding window feature extraction and weight adaptive random forest-based method for TBM tunnel rock mass grade identification. Expert Syst. Appl. Honggan Yu, Shuzhan Xu, Xin Yin, Mahdi Hasanipanah
2022	J	`jnl`	A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm. Eng. Comput. Jiandong Huang, Panagiotis G. Asteris, Siavash Manafi Khajeh Pasha, Ahmed Salih Mohammed, Mahdi Hasanipanah
2022	J	`jnl`	A novel TS Fuzzy-GMDH model optimized by PSO to determine the deformation values of rock material. Neural Comput. Appl. Hooman Harandizadeh, Danial Jahed Armaghani, Mahdi Hasanipanah, Soheil Jahandari
2022	J	`jnl`	A novel systematic and evolved approach based on XGBoost-firefly algorithm to predict Young's modulus and unconfined compressive strength of rock. Eng. Comput. Jing Cao, Juncheng Gao, Hima Nikafshan Rad, Ahmed Salih Mohammed, Mahdi Hasanipanah, Jian Zhou
2022	J	`jnl`	An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting. Eng. Comput. Mahdi Hasanipanah, Behrooz Keshtegar, Duc-Kien Thai, Trung Nguyen-Thoi
2022	J	`jnl`	An integrated approach of ANFIS-grasshopper optimization algorithm to approximate flyrock distance in mine blasting. Eng. Comput. Hadi Fattahi, Mahdi Hasanipanah
2022	J	`jnl`	Evolving support vector regression using Grey Wolf optimization; forecasting the geomechanical properties of rock. Eng. Comput. Chuanhua Xu, Menad Nait Amar, Mohammed Abdelfetah Ghriga, Hocine Ouaer, Xiliang Zhang, Mahdi Hasanipanah
2022	J	`jnl`	Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Eng. Comput. Mingxiang Cai, Hocine Ouaer, Ahmed Salih Mohammed, Xiaoling Chen, Menad Nait Amar, Mahdi Hasanipanah
2022	J	`jnl`	Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models. Earth Sci. Informatics Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, Menad Nait Amar, Hocine Ouaer, Khaled Mohamed Khedher
2022	J	`jnl`	Stochastic fractal search-tuned ANFIS model to predict blast-induced air overpressure. Eng. Comput. Jinbi Ye, Juhriyansyah Dalle, Ramin Nezami, Mahdi Hasanipanah, Danial Jahed Armaghani
2022	J	`jnl`	Two novel combined systems for predicting the peak shear strength using RBFNN and meta-heuristic computing paradigms. Eng. Comput. Juncheng Gao, Menad Nait Amar, Mohammad Reza Motahari, Mahdi Hasanipanah, Danial Jahed Armaghani
2021	J	`jnl`	A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting. Appl. Soft Comput. Wei Zhu, Hima Nikafshan Rad, Mahdi Hasanipanah
2021	J	`jnl`	A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration. Eng. Comput. Wusi Chen, Mahdi Hasanipanah, Hima Nikafshan Rad, Danial Jahed Armaghani, Mahmood M. D. Tahir
2021	J	`jnl`	A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine. Eng. Comput. Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy
2021	J	`jnl`	Design and implementation of a new tuned hybrid intelligent model to predict the uniaxial compressive strength of the rock using SFS-ANFIS. Eng. Comput. Hongjun Jing, Hima Nikafshan Rad, Mahdi Hasanipanah, Danial Jahed Armaghani, Sultan Noman Qasem
2021	J	`jnl`	Developing a new uncertain rule-based fuzzy approach for evaluating the blast-induced backbreak. Eng. Comput. Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
2021	J	`jnl`	GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles. Eng. Comput. Zhenyan Luo, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Kathirvel Brindhadevi, Mahmood M. D. Tahir
2021	J	`jnl`	Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength. Neural Comput. Appl. Mahdi Hasanipanah, Debiao Meng, Behrooz Keshtegar, Trung Nguyen-Thoi, Duc-Kien Thai
2021	J	`jnl`	Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng. Comput. Jian Zhou, Chuanqi Li, Chelang A. Arslan, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
2021	J	`jnl`	Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm. Eng. Comput. Xiaohua Ding, Mahdi Hasanipanah, Hima Nikafshan Rad, Wei Zhou
2020	J	`jnl`	Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Eng. Comput. Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Dieu Tien Bui, Peyman Mehrabi, Majid Khorami
2020	J	`jnl`	Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. Eng. Comput. Jian Zhou, Atefeh Nekouie, Chelang A. Arslan, Binh Thai Pham, Mahdi Hasanipanah
2020	J	`jnl`	Predicting ground vibration induced by rock blasting using a novel hybrid of neural network and itemset mining. Neural Comput. Appl. Maryam Amiri, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
2020	J	`jnl`	The Potential Application of a New Intelligent Based Approach in Predicting the Tensile Strength of Rock. IEEE Access Mahdi Hasanipanah, Wengang Zhang, Danial Jahed Armaghani, Hima Nikafshan Rad
2019	J	`jnl`	An intelligent based-model role to simulate the factor of safe slope by support vector regression. Eng. Comput. 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
2019	J	`jnl`	Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting. Eng. Comput. S. Farid F. Mojtahedi, Isa Ebtehaj, Mahdi Hasanipanah, Hossein Bonakdari, Hassan Bakhshandeh Amnieh
2019	J	`jnl`	Simulating the peak particle velocity in rock blasting projects using a neuro-fuzzy inference system. Eng. Comput. Wenchao Jiang, Chelang A. Arslan, Mehran Soltani Tehrani, Majid Khorami, Mahdi Hasanipanah
2018	J	`jnl`	Airblast prediction through a hybrid genetic algorithm-ANN model. Neural Comput. Appl. Danial Jahed Armaghani, Mahdi Hasanipanah, Amir Mahdiyar, Muhd Zaimi Abd. Majid, Hassan Bakhshandeh Amnieh, Mahmood M. D. Tahir
2018	J	`jnl`	Developing GPR model for forecasting the rock fragmentation in surface mines. Eng. Comput. Wei Gao, Masoud Karbasi, Mahdi Hasanipanah, Xun Zhang, Jia Guo
2018	J	`jnl`	Developing a least squares support vector machine for estimating the blast-induced flyrock. Eng. Comput. Hima Nikafshan Rad, Mahdi Hasanipanah, Mohammad Rezaei, Amin Lotfi Eghlim
2018	J	`jnl`	Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Comput. Appl. Danial Jahed Armaghani, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Edy Tonnizam Mohamad
2018	J	`jnl`	Feasibility of PSO-ANFIS model to estimate rock fragmentation produced by mine blasting. Neural Comput. Appl. Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Hossein Arab, Mohammad Saber Zamzam
2017	J	`jnl`	A Monte Carlo technique in safety assessment of slope under seismic condition. Eng. Comput. Amir Mahdiyar, Mahdi Hasanipanah, Danial Jahed Armaghani, Behrouz Gordan, Arham Abdullah, Hossein Arab, Muhd Zaimi Abd. Majid
2017	J	`jnl`	A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration. Eng. Comput. Khalil Taheri, Mahdi Hasanipanah, Saeid Bagheri Golzar, Muhd Zaimi Abd. Majid
2017	J	`jnl`	Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. Neural Comput. Appl. Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Muhd Zaimi Abd. Majid, Mahmood M. D. Tahir
2017	J	`jnl`	Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Eng. Comput. Nazanin Fouladgar, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh
2017	J	`jnl`	Developing a new hybrid-AI model to predict blast-induced backbreak. Eng. Comput. Mahdi Hasanipanah, Azam Shahnazar, Hossein Arab, Saeid Bagheri Golzar, Maryam Amiri
2017	J	`jnl`	Estimation of blast-induced ground vibration through a soft computing framework. Eng. Comput. Mahdi Hasanipanah, Saeid Bagheri Golzar, Iman Abbasi Larki, Masoume Yazdanpanah Maryaki, Tade Ghahremanians
2017	J	`jnl`	Forecasting blast-induced ground vibration developing a CART model. Eng. Comput. Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani, Masoud Monjezi
2017	J	`jnl`	Prediction of air-overpressure caused by mine blasting using a new hybrid PSO-SVR model. Eng. Comput. Mahdi Hasanipanah, Azam Shahnazar, Hassan Bakhshandeh Amnieh, Danial Jahed Armaghani
2017	J	`jnl`	Prediction of blast-produced ground vibration using particle swarm optimization. Eng. Comput. Mahdi Hasanipanah, Reyhaneh Naderi, Javad Kashir, Seyed Ahmad Noorani, Ali Zeynali Aaq Qaleh
2016	J	`jnl`	A combination of the ICA-ANN model to predict air-overpressure resulting from blasting. Eng. Comput. Danial Jahed Armaghani, Mahdi Hasanipanah, Edy Tonnizam Mohamad
2016	J	`jnl`	A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Eng. Comput. Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, Leyli Mohammad Khanli
2016	J	`jnl`	Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling. Eng. Comput. Mahdi Hasanipanah, Majid Noorian-Bidgoli, Danial Jahed Armaghani, Hossein Khamesi
2016	J	`jnl`	Several non-linear models in estimating air-overpressure resulting from mine blasting. Eng. Comput. Mahdi Hasanipanah, Danial Jahed Armaghani, Hossein Khamesi, Hassan Bakhshandeh Amnieh, Saber Ghoraba
2013	J	`jnl`	Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput. Appl. Masoud Monjezi, Mahdi Hasanipanah, Manoj Khandelwal