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)

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)

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)

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)

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)

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. - Nazanin Fouladgar; Mahdi Hasanipanah; Hassan Bakhshandeh Amnieh (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)

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)

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)

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)

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)

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)

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)

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)

Developing GPR model for forecasting the rock fragmentation in surface mines. - Wei Gao 012; Masoud Karbasi; Mahdi Hasanipanah; Xun Zhang; Jia Guo (Eng. Comput., 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)

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)

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 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)

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)

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)

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)

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)

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)

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. - Jian Zhou 007; Atefeh Nekouie; Chelang A. Arslan; Binh Thai Pham; Mahdi Hasanipanah (Eng. Comput., 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)

A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting. - Wei Zhu 020; Hima Nikafshan Rad; Mahdi Hasanipanah (Appl. Soft 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 009; Pijush Samui; Mahdi Hasanipanah; Bishwajit Roy (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)

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 034 (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)

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)

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)

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. - Jian Zhou 007; Chuanqi Li; Chelang A. Arslan; Mahdi Hasanipanah; Hassan Bakhshandeh Amnieh (Eng. Comput., 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)

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)

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)

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 007 (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)

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 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)

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)

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)

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)

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)