|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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