| Management of soybean oil refinery wastes through recycling them for producing biosurfactant using Pseudomonas aeruginosa MR01 M Partovi, TB Lotfabad, R Roostaazad, M Bahmaei, S Tayyebi World Journal of Microbiology and Biotechnology 29, 1039-1047, 2013 | 60 | 2013 |
| Artificial intelligence modeling of DME conversion to gasoline and light olefins over modified nano ZSM-5 catalysts Z Hajjar, A Khodadadi, Y Mortazavi, S Tayyebi, S Soltanali Fuel 179, 79-86, 2016 | 39 | 2016 |
| The control of MSF desalination plants based on inverse model control by neural network S Tayyebi, M Alishiri Desalination 333 (1), 92-100, 2014 | 38 | 2014 |
| A new insight into implementing Mamdani fuzzy inference system for dynamic process modeling: Application on flash separator fuzzy dynamic modeling MHE Ahmadi, SJ Royaee, S Tayyebi, RB Boozarjomehry Engineering Applications of Artificial Intelligence 90, 103485, 2020 | 31 | 2020 |
| Neural network and genetic algorithm for modeling and optimization of effective parameters on synthesized ZSM-5 particle size S Soltanali, R Halladj, S Tayyebi, A Rashidi Materials Letters 136, 138-140, 2014 | 28 | 2014 |
| Application of AI in chemical engineering Z Hajjar, S Tayyebi, MHE Ahmadi Artificial Intelligence-Emerging Trends and Applications, 399-415, 2018 | 17 | 2018 |
| Artificial intelligence techniques for modeling and optimization of the HDS process over a new graphene based catalyst Z Hajjar, M Kazemeini, A Rashidi, S Tayyebi Phosphorus, Sulfur, and Silicon and the related Elements 191 (9), 1256-1261, 2016 | 13 | 2016 |
| A new approach of GA-based type reduction of interval type-2 fuzzy model for nonlinear MIMO system: Application in methane oxidation process S Tayyebi, S Soltanali Chemometrics and Intelligent Laboratory Systems 167, 152-160, 2017 | 11 | 2017 |
| Desulfurization of high sulfur petroleum coke by molten caustic leaching H Askari, F Khorasheh, S Soltanali, S Tayyebi Egyptian Journal of Petroleum 28 (2), 225-231, 2019 | 10 | 2019 |
| A novel modified training of radial basis network: prediction of conversion and selectivity in 1-hexene dimerization process S Tayyebi, Z Hajjar, S Soltanali Chemometrics and Intelligent Laboratory Systems 190, 1-9, 2019 | 8 | 2019 |
| Application of genetic-fuzzy approach for estimation of nano ZSM-5 crystallinity S Soltanali, R Halladj, S Tayyebi, A Rashidi Materials Letters 150, 39-43, 2015 | 8 | 2015 |
| Kinetic Measurements for Pseudomonas aeruginosa MR01 during biosurfactant production in two-phase system and developing a double-exponential model for viable cell profile TB Lotfabad, S Tayyebi, R Roostaazad World Appl. Sci. J 22 (6), 809-816, 2013 | 8 | 2013 |
| Development of Genetically tuned Fuzzy dynamic model for nonlinear dynamical systems: Application on reaction section of Tennessee Eastman process MH Eghbal Ahmadi, SJ Royaee, S Tayyebi, RB Boozarjomehry Scientia Iranica 25 (6), 3381-3390, 2018 | 7 | 2018 |
| Neuromorphic multiple-fault diagnosing system based on plant dynamic characteristics S Tayyebi, R Bozorgmehry Boozarjomehry, M Shahrokhi Industrial & Engineering Chemistry Research 52 (36), 12927-12936, 2013 | 6 | 2013 |
| Applying neural network to dynamic modeling of biosurfactant production using soybean oil refinery wastes S Tayyebi, T Bagheri Lotfabad, R Roostaazad Iranica Journal of Energy & Environment 4 (2), 2013 | 6 | 2013 |
| Fault diagnosis in a yeast fermentation bioreactor by genetic fuzzy system S Tayyebi, M Shahrokhi, RB Bozorgmehry IRANIAN JOURNAL OF CHEMISTRY AND CHEMICAL ENGINEERING (IJCCE) 29 (3), 61-72, 2010 | 6 | 2010 |
| A novel adaptive three stages model predictive control based on fuzzy systems: Application in MIMO controlling of MED-TVC process S Tayyebi, M Alishiri Journal of the Franklin Institute 356 (16), 9344-9363, 2019 | 5 | 2019 |
| Comparison of different sampling and surrogate modelling approaches for a multi-objective optimization problem of direct dimethyl ether synthesis in the fixed-bed reactor S Bashiri, E Yasari, S Tayyebi Chemometrics and Intelligent Laboratory Systems 230, 104683, 2022 | 4 | 2022 |
| Prediction of the Carbon nanotube quality using adaptive neuro–fuzzy inference system H Alijani, S Tayyebi, Z Hajjar, Z Shariatinia, S Soltanali International Journal of Nano Dimension 8 (4), 298-306, 2017 | 4 | 2017 |
| Fuzzy modeling system based on GA fuzzy rule extraction and hybrid of differential evolution and Tabu search approaches: Application in synthesis gas conversion to valuable … S Tayyebi, Z Hajjar, S Soltanali Fuel 335, 126980, 2023 | 3 | 2023 |
