Publications

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Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm , Scientific Reports, 2021, Vol. 11, pp. 1-14.

DOI: 10.1038/s41598-021-81957-3

Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Predicting air superficial velocity of two-phase reactors using ANFIS and CFD , ACS omega, 2020, Vol. 6, pp. 239-252.

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Gbell learning function along with fuzzy mechanism in prediction of two-phase flow , ACS omega, 2020, Vol. 5, pp. 25882-25890.

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian

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 , ACS omega, 2020, Vol. 5, pp. 16284-16291.

M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian

Liquid‐phase chemical reactors: Development of 3D hybrid model based on CFD‐adaptive network‐based fuzzy inference system The Canadian Journal of Chemical Engineering, 2019 Vol. 97, pp. 1676-1684.

DOI: 10.1002/cjce.23378

Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani

Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm , Scientific Reports, 2021, Vol. 11, pp. 1-12.

DOI: 10.1038/s41598-021-90201-x

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results , Scientific Reports, 2021 Vol. 11, pp. 1-11.

DOI: 10.1038/s41598-020-79913-8

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Pressure and temperature predictions of Al2O3/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS , Scientific Reports, 2020, Vol. 11, pp. 1-14.

DOI: 10.1038/s41598-020-79689-x

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system , ACS omega, 2020, Vol. 5, pp. 30826-30835.

Rahmad Syah, Marischa Elveny, Mahyuddin KM Nasution, Vadim V Ponkratov, Mariya Yurievna Kuznetsova, Andrey Leonidovich Poltarykhin, Meisam Babanezhad

Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization , Scientific Reports, 2021, Vol. 11, pp. 1-9.

DOI: 10.1038/s41598-021-00279-6

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian

Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow , Scientific Reports, 2021, Vol. 11, pp. 1-14.

DOI: 10.1038/s41598-021-81111-z

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-74858-4

Rahmad Syah, Marischa Elveny, Mahyuddin KM Nasution, Vadim V Ponkratov, Mariya Yurievna Kuznetsova, Andrey Leonidovich Poltarykhin, Meisam Babanezhad

Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization , Scientific Reports, 2021, Vol. 11, pp. 1-9.

DOI: 10.1038/s41598-021-00279-6

Miralireza Nabavi, Marischa Elveny, Svetlana Dmitrievna Danshina, Iman Behroyan, Meisam Babanezhad

Velocity prediction of Cu/water nanofluid convective flow in a circular tube: Learning CFD data by differential evolution algorithm based fuzzy inference system (DEFIS) , International Communications in Heat and Mass Transfer, 2021, Vol. 126, pp. 105373.

DOI: 10.1016/j.icheatmasstransfer.2021.105373

Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani

Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm , Scientific Reports, 2021, Vol. 11, pp. 1-12.

DOI: 10.1038/s41598-021-90201-x

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system , Scientific Reports, 2021, Vol. 11, pp. 1-12.

DOI: 10.1038/s41598-020-80207-2

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe , Scientific Reports, 2021, Vol. 11, pp. 1-18.

DOI: 10.1038/s41598-020-79628-w

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results , Scientific Reports, 2021 Vol. 11, pp. 1-11.

DOI: 10.1038/s41598-020-79913-8

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

DOI: 10.1038/s41598-020-79689-x

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-79293-z

Azam Marjani, Meisam Babanezhad, Saeed Shirazian

Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu/water nanofluid convective flow , Case Studies in Thermal Engineering, 2020, Vol. 22, pp. 100793.

DOI: 10.1016/j.csite.2020.100793

Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow , Scientific Reports, 2020, Vol. 10, pp. 1-11.

DOI: 10.1038/s41598-020-72182-5

Meisam Babanezhad, Samyar Zabihi, Ali Taghvaie Nakhjiri, Azam Marjani, Iman Behroyan, Saeed Shirazian

Prediction of nanofluid characteristics and flow pattern on artificial differential evolution learning nodes and fuzzy framework , ACS omega, 2020, Vol. 5, pp. 22091-22098.

Panpan Xu, Meisam Babanezhad, Hooman Yarmand, Azam Marjani

Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods , Journal of Visualization, Vol. 23, pp. 97-110.

DOI: 10.1007/s12650-019-00614-0

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe , Scientific Reports, 2021, Vol. 11, pp. 1-18.

DOI: 10.1038/s41598-020-79628-w

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-79293-z

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer , Scientific Reports, 2020, Vol. 10, pp. 1-14.

DOI: 10.1038/s41598-020-78751-y

Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian

Prediction of nanofluid temperature inside the cavity by integration of grid partition clustering categorization of a learning structure with the fuzzy system , ACS omega, 2020, Vol. 5, pp. 3571-3578.

Numerical investigation of water forced convection inside a copper metal foam tube: Genetic algorithm (GA) based fuzzy inference system (GAFIS) contribution with CFD modeling

Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani

Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm , Scientific Reports, 2021, Vol. 11, pp. 1-12.

DOI: 10.1038/s41598-021-90201-x

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

DOI: 10.1038/s41598-020-80207-2

Iman Behroyan, Vyacheslav Petrenko, Fariza Tebueva, Meisam Babanezhad

Investigation of Input Variables Influence in Patterns Learning of Fluid Flow Behavior Using Fuzzy Differential Evolution , Arabian Journal for Science and Engineering, 2022, , pp. 1-11.

DOI: 10.1007/s13369-022-06923-1

Numerical investigation of water forced convection inside a copper metal foam tube: Genetic algorithm (GA) based fuzzy inference system (GAFIS) contribution with CFD modeling

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS , Neural Computing and Applications, 2021, Vol. 33, pp. 6819-6833.

DOI: 10.1007/s00521-020-05458-6

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian

DOI: 10.1038/s41598-021-81111-z

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube , Scientific Reports, 2020, Vol. 10, pp. 1-12.

DOI: 10.1038/s41598-020-76260-6

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Simulation of liquid flow with a combination artificial intelligence flow field and Adams–Bashforth method , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-72602-6

Meisam Babanezhad, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS) , Scientific Reports, 2020, Vol. 10, pp. 1-20.

DOI: 10.1038/s41598-020-73175-0

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-72926-3

Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian

Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set , Scientific Reports, 2020, Vol. 10, pp. 1–12.

DOI: 10.1038/s41598-020-70672-0

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian

Developing intelligent algorithm as a machine learning overview over the big data generated by Euler–Euler method to simulate bubble column reactor hydrodynamics , ACS omega, 2020, Vol. 5, pp. 20558-20566.

Quyen Nguyen, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian

Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model , PLoS One, 2020, Vol. 15, pp. e0233850.

DOI: 10.1371/journal.pone.0233850

Iman Behroyan, Vyacheslav Petrenko, Fariza Tebueva, Meisam Babanezhad

Investigation of Input Variables Influence in Patterns Learning of Fluid Flow Behavior Using Fuzzy Differential Evolution , Arabian Journal for Science and Engineering, 2022, , pp. 1-11.

DOI: 10.1007/s13369-022-06923-1

Meisam Babanezhad, Iman Behroyan

Applications and performance of fuzzy differential evolution (DEFIS) in CFD modeling of heat and mass transfer , Differential Evolution: From Theory to Practice, 2022, Springer, Singapore

DOI: 10.1007/978-981-16-8082-3_14

Miralireza Nabavi, Marischa Elveny, Svetlana Dmitrievna Danshina, Iman Behroyan, Meisam Babanezhad

DOI: 10.1016/j.icheatmasstransfer.2021.105373

Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm , Scientific Reports, 2021, Vol. 11, pp. 1-14.

DOI: 10.1038/s41598-021-81957-3

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results , Scientific Reports, 2021 Vol. 11, pp. 1-11.

DOI: 10.1038/s41598-020-79913-8

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system , Scientific Reports, 2020, Vol. 10, pp. 1-11.

DOI: 10.1038/s41598-020-78277-3

Meisam Babanezhad, Samyar Zabihi, Ali Taghvaie Nakhjiri, Azam Marjani, Iman Behroyan, Saeed Shirazian

Prediction of nanofluid characteristics and flow pattern on artificial differential evolution learning nodes and fuzzy framework , ACS omega, 2020, Vol. 5, pp. 22091-22098.

Meisam Babanezhad, Iman Behroyan

Applications and performance of fuzzy differential evolution (DEFIS) in CFD modeling of heat and mass transfer , Differential Evolution: From Theory to Practice, 2022, Springer, Singapore

DOI: 10.1007/978-981-16-8082-3_14

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian

DOI: 10.1038/s41598-021-81111-z

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results , Scientific Reports, 2021 Vol. 11, pp. 1-11.

DOI: 10.1038/s41598-020-79913-8

Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Predicting air superficial velocity of two-phase reactors using ANFIS and CFD , ACS omega, 2020, Vol. 6, pp. 239-252.

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system , Scientific Reports, 2020, Vol. 10, pp. 1-11.

DOI: 10.1038/s41598-020-78277-3

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system , ACS omega, 2020, Vol. 5, pp. 30826-30835.

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube , Scientific Reports, 2020, Vol. 10, pp. 1-12.

DOI: 10.1038/s41598-020-76260-6

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Simulation of liquid flow with a combination artificial intelligence flow field and Adams–Bashforth method , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-72602-6

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-72926-3

Yan Cao, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian

Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM , Neural Computing and Applications, 2020, Vol. 32, pp. 13313-13321.

DOI: 10.1007/s00521-019-04677-w

Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian

Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set , Scientific Reports, 2020, Vol. 10, pp. 1–12.

DOI: 10.1038/s41598-020-70672-0

Quyen Nguyen, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian

Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model , PLoS One, 2020, Vol. 15, pp. e0233850.

DOI: 10.1371/journal.pone.0233850

Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian

Simulation of a bubble-column reactor by three-dimensional CFD: multidimension-and function-adaptive network-based fuzzy inference system , International Journal of Fuzzy Systems, 2020, Vol. 22, pp. 477-490.

DOI: 10.1007/s40815-019-00741-8

Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian

Panpan Xu, Meisam Babanezhad, Hooman Yarmand, Azam Marjani

DOI: 10.1007/s12650-019-00614-0

M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian

DOI: 10.1002/cjce.23378

Hao Liang, Meisam Babanezhad, Narjes Nabipour, Maryam Heidarifard, Mashallah Rezakazemi, Saeed Shirazian

Prediction of fluid interface between dispersed and matrix phases by Lattice Boltzmann-adaptive network-based fuzzy inference system , Journal of Experimental & Theoretical Artificial Intelligence, 2021, Vol. 33, pp. 1001-1013.

DOI: 10.1080/0952813X.2020.1808081

Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Predicting air superficial velocity of two-phase reactors using ANFIS and CFD , ACS omega, 2020, Vol. 6, pp. 239-252.

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer , Scientific Reports, 2020, Vol. 10, pp. 1-14.

DOI: 10.1038/s41598-020-78751-y

Meisam Babanezhad, Azam Marjani, Saeed Shirazian

Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor , Scientific Reports, 2020, Vol. 10, pp. 1-14.

DOI: 10.1038/s41598-020-78388-x

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system , Scientific Reports, 2020, Vol. 10, pp. 1-11.

DOI: 10.1038/s41598-020-78277-3

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-74858-4

Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian

Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set , Scientific Reports, 2020, Vol. 10, pp. 1–12.

DOI: 10.1038/s41598-020-70672-0

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian

Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian

DOI: 10.1007/s40815-019-00741-8

Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau

Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants , Engineering Applications of Computational Fluid Mechanics, 2020. Vol. 14, pp. 367-378

DOI: 10.1080/19942060.2020.1715842

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

DOI: 10.1038/s41598-020-79689-x

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer , Scientific Reports, 2020, Vol. 10, pp. 1-14.

DOI: 10.1038/s41598-020-78751-y

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube , Scientific Reports, 2020, Vol. 10, pp. 1-12.

DOI: 10.1038/s41598-020-76260-6

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-74858-4

Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau

DOI: 10.1080/19942060.2020.1715842

Hao Liang, Meisam Babanezhad, Narjes Nabipour, Maryam Heidarifard, Mashallah Rezakazemi, Saeed Shirazian

DOI: 10.1080/0952813X.2020.1808081

Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian

Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS , Neural Computing and Applications, 2021, Vol. 33, pp. 6819-6833.

DOI: 10.1007/s00521-020-05458-6

Zahra Pourtousi, Sadaf Khalijian, Afsaneh Ghanizadeh, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system , Scientific Reports, 2021, Vol. 11, pp. 1-17.

DOI: 10.1038/s41598-021-89005-w

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe , Scientific Reports, 2021, Vol. 11, pp. 1-18.

DOI: 10.1038/s41598-020-79628-w

Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Predicting air superficial velocity of two-phase reactors using ANFIS and CFD , ACS omega, 2020, Vol. 6, pp. 239-252.

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian

Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-79293-z

Meisam Babanezhad, Azam Marjani, Saeed Shirazian

Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor , Scientific Reports, 2020, Vol. 10, pp. 1-14.

DOI: 10.1038/s41598-020-78388-x

Azam Marjani, Meisam Babanezhad, Saeed Shirazian

DOI: 10.1016/j.csite.2020.100793

Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system , ACS omega, 2020, Vol. 5, pp. 30826-30835.

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow , Scientific Reports, 2020, Vol. 10, pp. 1-10.

DOI: 10.1038/s41598-020-74858-4

Meisam Babanezhad, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS) , Scientific Reports, 2020, Vol. 10, pp. 1-20.

DOI: 10.1038/s41598-020-73175-0

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Gbell learning function along with fuzzy mechanism in prediction of two-phase flow , ACS omega, 2020, Vol. 5, pp. 25882-25890.

Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian

Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods , Scientific Reports, 2020, Vol. 10, pp. 1-13.

DOI: 10.1038/s41598-020-72926-3

Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian

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