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Mohammadreza Koopialipoor
Mohammadreza Koopialipoor
Unknown affiliation
Verified email at aut.ac.ir
Title
Cited by
Cited by
Year
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
2152019
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
2132019
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
1772019
Prediction of cement-based mortars compressive strength using machine learning techniques
PG Asteris, M Koopialipoor, DJ Armaghani, EA Kotsonis, PB Lourenço
Neural Computing and Applications 33 (19), 13089-13121, 2021
1682021
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
1672020
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
1612019
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
1502019
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
1482021
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
1442019
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
1212020
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
1132019
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
1122019
A novel approach for classification of soils based on laboratory tests using Adaboost, Tree and ANN modeling
BT Pham, MD Nguyen, T Nguyen-Thoi, LS Ho, M Koopialipoor, NK Quoc, ...
Transportation Geotechnics 27, 100508, 2021
1102021
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
1102020
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
1082020
Introducing stacking machine learning approaches for the prediction of rock deformation
M Koopialipoor, PG Asteris, AS Mohammed, DE Alexakis, A Mamou, ...
Transportation Geotechnics 34, 100756, 2022
982022
Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples
L Sun, M Koopialipoor, D Jahed Armaghani, R Tarinejad, MM Tahir
Engineering with Computers 37, 1133-1145, 2021
942021
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
942019
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
922021
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
PG Asteris, A Mamou, M Hajihassani, M Hasanipanah, M Koopialipoor, ...
Transportation Geotechnics 29, 100588, 2021
912021
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Articles 1–20