| Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS) M Babanezhad, A Masoumian, AT Nakhjiri, A Marjani, S Shirazian Scientific Reports 10 (1), 16110, 2020 | 57 | 2020 |
| Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM Y Cao, M Babanezhad, M Rezakazemi, S Shirazian Neural Computing and Applications 32 (17), 13313-13321, 2020 | 55 | 2020 |
| Liquid‐phase chemical reactors: Development of 3D hybrid model based on CFD‐adaptive network‐based fuzzy inference system M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian The Canadian Journal of Chemical Engineering 97, 1676-1684, 2019 | 50 | 2019 |
| Changes in the number of membership functions for predicting the gas volume fraction in two-phase flow using grid partition clustering of the ANFIS method M Babanezhad, AT Nakhjiri, S Shirazian ACS omega 5 (26), 16284-16291, 2020 | 49 | 2020 |
| Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe M Babanezhad, I Behroyan, AT Nakhjiri, A Marjani, S Shirazian Scientific Reports 11 (1), 902, 2021 | 44 | 2021 |
| Developing intelligent algorithm as a machine learning overview over the big data generated by Euler–Euler method to simulate bubble column reactor hydrodynamics M Babanezhad, A Taghvaie Nakhjiri, M Rezakazemi, S Shirazian ACS omega 5 (32), 20558-20566, 2020 | 44 | 2020 |
| Prediction of nanofluid temperature inside the cavity by integration of grid partition clustering categorization of a learning structure with the fuzzy system N Nabipour, M Babanezhad, A Taghvaie Nakhjiri, S Shirazian ACS omega 5 (7), 3571-3578, 2020 | 43 | 2020 |
| High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system M Babanezhad, I Behroyan, AT Nakhjiri, A Marjani, M Rezakazemi, ... Scientific Reports 10 (1), 21304, 2020 | 41 | 2020 |
| Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods M Babanezhad, AT Nakhjiri, A Marjani, S Shirazian Scientific Reports 10 (1), 15908, 2020 | 41 | 2020 |
| Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow M Babanezhad, A Taghvaie Nakhjiri, M Rezakazemi, A Marjani, ... Scientific reports 10 (1), 17793, 2020 | 40 | 2020 |
| ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow M Pishnamazi, M Babanezhad, AT Nakhjiri, M Rezakazemi, A Marjani, ... Scientific Reports 10 (1), 15395, 2020 | 40 | 2020 |
| Simulation of a bubble-column reactor by three-dimensional CFD: multidimension-and function-adaptive network-based fuzzy inference system E Tian, M Babanezhad, M Rezakazemi, S Shirazian International Journal of Fuzzy Systems 22 (2), 477-490, 2020 | 39 | 2020 |
| Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube M Babanezhad, I Behroyan, A Taghvaie Nakhjiri, M Rezakazemi, ... Scientific reports 10 (1), 19280, 2020 | 38 | 2020 |
| Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system M Babanezhad, I Behroyan, AT Nakhjiri, A Marjani, S Shirazian ACS omega 5 (48), 30826-30835, 2020 | 37 | 2020 |
| Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model Q Nguyen, M Babanezhad, A Taghvaie Nakhjiri, M Rezakazemi, ... PLoS One 15 (6), e0233850, 2020 | 37 | 2020 |
| Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods P Xu, M Babanezhad, H Yarmand, A Marjani Journal of Visualization 23, 97-110, 2020 | 34 | 2020 |
| Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS M Babanezhad, I Behroyan, A Marjani, S Shirazian Neural Computing and Applications 33, 6819-6833, 2021 | 31 | 2021 |
| Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu/water nanofluid convective flow A Marjani, M Babanezhad, S Shirazian Case Studies in Thermal Engineering 22, 100793, 2020 | 31 | 2020 |
| Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants S Shamshirband, M Babanezhad, A Mosavi, N Nabipour, E Hajnal, ... Engineering applications of computational fluid mechanics 14 (1), 367-378, 2020 | 31 | 2020 |
| Velocity prediction of Cu/water nanofluid convective flow in a circular tube: Learning CFD data by differential evolution algorithm based fuzzy inference system (DEFIS) M Nabavi, M Elveny, SD Danshina, I Behroyan, M Babanezhad International Communications in Heat and Mass Transfer 126, 105373, 2021 | 29 | 2021 |
Ali Taghvaie NakhjiriPostdoctoral of Chemical Engineering - Ph.D of Chemical Engineering; SRBIAUOverená e-mailová adresa na: srbiau.ac.ir