| Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions M Koopialipoor, D Jahed Armaghani, A Hedayat, A Marto, B Gordan Soft Computing 23, 5913-5929, 2019 | 170 | 2019 |
| Application of several optimization techniques for estimating TBM advance rate in granitic rocks DJ Armaghani, M Koopialipoor, A Marto, S Yagiz Journal of Rock Mechanics and Geotechnical Engineering 11 (4), 779-789, 2019 | 149 | 2019 |
| Three hybrid intelligent models in estimating flyrock distance resulting from blasting M Koopialipoor, A Fallah, DJ Armaghani, A Azizi, ET Mohamad Engineering with Computers 35, 243-256, 2019 | 144 | 2019 |
| Predicting tunnel boring machine performance through a new model based on the group method of data handling M Koopialipoor, SS Nikouei, A Marto, A Fahimifar, D Jahed Armaghani, ... Bulletin of Engineering Geology and the Environment 78, 3799-3813, 2019 | 126 | 2019 |
| Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance M Koopialipoor, A Fahimifar, EN Ghaleini, M Momenzadeh, ... Engineering with Computers 36, 345-357, 2020 | 118 | 2020 |
| A neuro-genetic predictive model to approximate overbreak induced by drilling and blasting operation in tunnels M Koopialipoor, D Jahed Armaghani, M Haghighi, EN Ghaleini Bulletin of Engineering Geology and the Environment 78, 981-990, 2019 | 114 | 2019 |
| Deep neural network and whale optimization algorithm to assess flyrock induced by blasting H Guo, J Zhou, M Koopialipoor, D Jahed Armaghani, MM Tahir Engineering with Computers 37, 173-186, 2021 | 98 | 2021 |
| A combination of artificial bee colony and neural network for approximating the safety factor of retaining walls EN Ghaleini, M Koopialipoor, M Momenzadeh, ME Sarafraz, ... Engineering with Computers 35, 647-658, 2019 | 95 | 2019 |
| A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network J Zhou, N Aghili, EN Ghaleini, DT Bui, MM Tahir, M Koopialipoor Engineering with Computers 36, 713-723, 2020 | 93 | 2020 |
| Application of deep neural networks in predicting the penetration rate of tunnel boring machines M Koopialipoor, H Tootoonchi, D Jahed Armaghani, ... Bulletin of Engineering Geology and the Environment 78, 6347-6360, 2019 | 91 | 2019 |
| Invasive weed optimization technique-based ANN to the prediction of rock tensile strength L Huang, PG Asteris, M Koopialipoor, DJ Armaghani, MM Tahir Applied Sciences 9 (24), 5372, 2019 | 84 | 2019 |
| Estimating and optimizing safety factors of retaining wall through neural network and bee colony techniques B Gordan, M Koopialipoor, A Clementking, H Tootoonchi, ... Engineering with Computers 35, 945-954, 2019 | 77 | 2019 |
| A new methodology for optimization and prediction of rate of penetration during drilling operations Y Zhao, A Noorbakhsh, M Koopialipoor, A Azizi, MM Tahir Engineering with Computers 36, 587-595, 2020 | 75 | 2020 |
| The use of new intelligent techniques in designing retaining walls M Koopialipoor, BR Murlidhar, A Hedayat, DJ Armaghani, B Gordan, ... Engineering with Computers 36, 283-294, 2020 | 70 | 2020 |
| Overbreak prediction and optimization in tunnel using neural network and bee colony techniques M Koopialipoor, EN Ghaleini, M Haghighi, S Kanagarajan, P Maarefvand, ... Engineering with Computers 35, 1191-1202, 2019 | 70 | 2019 |
| A novel feature selection approach based on tree models for evaluating the punching shear capacity of steel fiber-reinforced concrete flat slabs S Lu, M Koopialipoor, PG Asteris, M Bahri, DJ Armaghani Materials 13 (17), 3902, 2020 | 69 | 2020 |
| Use of intelligent methods to design effective pattern parameters of mine blasting to minimize flyrock distance J Zhou, M Koopialipoor, BR Murlidhar, SA Fatemi, MM Tahir, ... Natural Resources Research 29, 625-639, 2020 | 68 | 2020 |
| Improving performance of retaining walls under dynamic conditions developing an optimized ANN based on ant colony optimization technique C Xu, B Gordan, M Koopialipoor, DJ Armaghani, MM Tahir, X Zhang IEEE Access 7, 94692-94700, 2019 | 65 | 2019 |
| Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN M Koopialipoor, EN Ghaleini, H Tootoonchi, D Jahed Armaghani, ... Environmental Earth Sciences 78, 1-14, 2019 | 65 | 2019 |
| Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm J Zhou, H Guo, M Koopialipoor, D Jahed Armaghani, MM Tahir Engineering with Computers 37, 1679-1694, 2021 | 64 | 2021 |
Danial Jahed Armaghani, Ph.DUniversity of Technology Sydney, University of Technology MalaysiaVerified email at uts.edu.au
