| Feasibility of indirect determination of blast induced ground vibration based on support vector machine M Hasanipanah, M Monjezi, A Shahnazar, DJ Armaghani, A Farazmand Measurement 75, 289-297, 2015 | 282 | 2015 |
| Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network M Monjezi, M Hasanipanah, M Khandelwal Neural Computing and Applications 22, 1637-1643, 2013 | 270 | 2013 |
| Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling M Hasanipanah, M Noorian-Bidgoli, D Jahed Armaghani, H Khamesi Engineering with Computers 32, 705-715, 2016 | 262 | 2016 |
| Airblast prediction through a hybrid genetic algorithm-ANN model D Jahed Armaghani, M Hasanipanah, A Mahdiyar, MZ Abd Majid, ... Neural Computing and Applications 29, 619-629, 2018 | 181 | 2018 |
| Application of PSO to develop a powerful equation for prediction of flyrock due to blasting M Hasanipanah, D Jahed Armaghani, H Bakhshandeh Amnieh, ... Neural Computing and Applications 28, 1043-1050, 2017 | 180 | 2017 |
| Forecasting blast-induced ground vibration developing a CART model M Hasanipanah, RS Faradonbeh, HB Amnieh, DJ Armaghani, M Monjezi Engineering with Computers 33, 307-316, 2017 | 174 | 2017 |
| A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure M Amiri, H Bakhshandeh Amnieh, M Hasanipanah, L Mohammad Khanli Engineering with Computers 32, 631-644, 2016 | 169 | 2016 |
| Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model M Hasanipanah, A Shahnazar, H Bakhshandeh Amnieh, ... Engineering with Computers 33, 23-31, 2017 | 162 | 2017 |
| A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration K Taheri, M Hasanipanah, SB Golzar, MZA Majid Engineering with Computers 33, 689-700, 2017 | 161 | 2017 |
| Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting M Hasanipanah, HB Amnieh, H Arab, MS Zamzam Neural Computing and Applications 30, 1015-1024, 2018 | 159 | 2018 |
| A combination of the ICA-ANN model to predict air-overpressure resulting from blasting D Jahed Armaghani, M Hasanipanah, E Tonnizam Mohamad Engineering with Computers 32, 155-171, 2016 | 148 | 2016 |
| Prediction of blast-produced ground vibration using particle swarm optimization M Hasanipanah, R Naderi, J Kashir, SA Noorani, A Zeynali Aaq Qaleh Engineering with Computers 33, 173-179, 2017 | 142 | 2017 |
| Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting J Zhou, C Li, CA Arslan, M Hasanipanah, H Bakhshandeh Amnieh Engineering with computers 37 (1), 265-274, 2021 | 136 | 2021 |
| Feasibility of ICA in approximating ground vibration resulting from mine blasting DJ Armaghani, M Hasanipanah, HB Amnieh, ET Mohamad Neural Computing and Applications 29, 457-465, 2018 | 124 | 2018 |
| Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system M Hasanipanah, D Jahed Armaghani, M Monjezi, S Shams Environmental Earth Sciences 75, 1-12, 2016 | 116 | 2016 |
| Several non-linear models in estimating air-overpressure resulting from mine blasting M Hasanipanah, DJ Armaghani, H Khamesi, HB Amnieh, S Ghoraba Engineering with Computers, 1-15, 2015 | 112 | 2015 |
| Intelligent prediction of blasting-induced ground vibration using ANFIS optimized by GA and PSO H Yang, M Hasanipanah, MM Tahir, DT Bui Natural Resources Research 29, 739-750, 2020 | 110 | 2020 |
| Risk assessment and prediction of flyrock distance by combined multiple regression analysis and Monte Carlo simulation of quarry blasting DJ Armaghani, A Mahdiyar, M Hasanipanah, RS Faradonbeh, ... Rock Mechanics and Rock Engineering 49, 3631-3641, 2016 | 102 | 2016 |
| Examining hybrid and single SVM models with different kernels to predict rock brittleness D Jahed Armaghani, PG Asteris, B Askarian, M Hasanipanah, R Tarinejad, ... Sustainability 12 (6), 2229, 2020 | 101 | 2020 |
| Developing a least squares support vector machine for estimating the blast-induced flyrock HN Rad, M Hasanipanah, M Rezaei, AL Eghlim Engineering with Computers 34, 709-717, 2018 | 99 | 2018 |
Danial Jahed ArmaghaniUniversity of Technology SydneyVerified email at uts.edu.au