{"id":2548,"date":"2022-10-22T09:48:26","date_gmt":"2022-10-22T09:48:26","guid":{"rendered":"https:\/\/shunderman.com\/?page_id=2548"},"modified":"2022-10-23T18:12:29","modified_gmt":"2022-10-23T18:12:29","slug":"artificial-intelligence","status":"publish","type":"page","link":"https:\/\/shunderman.com\/?page_id=2548","title":{"rendered":"Artificial Intelligence"},"content":{"rendered":"<p><section class=\"kc-elm kc-css-609488 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-756375 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\"><div class=\"kc-elm kc-css-617480 kc_text_block\"><\/p>\n<p>\n<strong>Disclaimer:\u00a0<\/strong>The papers below are intended for private viewing by the page owner or those who otherwise have legitimate access to them. No part of it may in any form or by any electronic, mechanical, photocopying, recording, or any other means be reproduced, stored in a retrieval system or be broadcast or transmitted without the prior permission of the respective publishers. If your organization has a valid subscription of the journals, click on the DOI link for the legitimate copy of the papers.<\/p>\n<p>\n<\/div><\/div><\/div><\/div><\/div><\/section><section class=\"kc-elm kc-css-989883 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-13067 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\">\n    <div class=\"rushmore-content-area section-journal-papers kc-elm kc-css-29851\">\n    <nav class=\"journal-papers-nav\">\n        <ul class=\"journal-papers-nav-list list-inline\" role=\"tablist\"><li role=\"presentation\" class=active><a href=\"#two-phase-flow\" class=\"link-prev_def\" aria-controls=\"two-phase-flow\" role=\"tab\" data-toggle=\"tab\">Two Phase Flow<\/a><\/li><li role=\"presentation\" ><a href=\"#porous\" class=\"link-prev_def\" aria-controls=\"porous\" role=\"tab\" data-toggle=\"tab\">Porous Medium<\/a><\/li><li role=\"presentation\" ><a href=\"#particle-swarm-optimization-algorism\" class=\"link-prev_def\" aria-controls=\"particle-swarm-optimization-algorism\" role=\"tab\" data-toggle=\"tab\">Particle Swarm Optimization algorism (PSO)<\/a><\/li><li role=\"presentation\" ><a href=\"#nanofluid\" class=\"link-prev_def\" aria-controls=\"nanofluid\" role=\"tab\" data-toggle=\"tab\">Nanofluid<\/a><\/li><li role=\"presentation\" ><a href=\"#heat-transfer\" class=\"link-prev_def\" aria-controls=\"heat-transfer\" role=\"tab\" data-toggle=\"tab\">Heat Transfer<\/a><\/li><li role=\"presentation\" ><a href=\"#genetic-algorithm-ga\" class=\"link-prev_def\" aria-controls=\"genetic-algorithm-ga\" role=\"tab\" data-toggle=\"tab\">Genetic Algorithm (GA)<\/a><\/li><li role=\"presentation\" ><a href=\"#fluid-flow\" class=\"link-prev_def\" aria-controls=\"fluid-flow\" role=\"tab\" data-toggle=\"tab\">Fluid Flow<\/a><\/li><li role=\"presentation\" ><a href=\"#deferential-evolution-algorism\" class=\"link-prev_def\" aria-controls=\"deferential-evolution-algorism\" role=\"tab\" data-toggle=\"tab\">Differential Evolution algorism (DE)<\/a><\/li><li role=\"presentation\" ><a href=\"#cfd-modelling\" class=\"link-prev_def\" aria-controls=\"cfd-modelling\" role=\"tab\" data-toggle=\"tab\">CFD modelling<\/a><\/li><li role=\"presentation\" ><a href=\"#bubble-column-reactor-bcr\" class=\"link-prev_def\" aria-controls=\"bubble-column-reactor-bcr\" role=\"tab\" data-toggle=\"tab\">Bubble Column Reactor (BCR)<\/a><\/li><li role=\"presentation\" ><a href=\"#ant-colony-optimization-algorism-aco\" class=\"link-prev_def\" aria-controls=\"ant-colony-optimization-algorism-aco\" role=\"tab\" data-toggle=\"tab\">Ant Colony Optimization algorism (ACO)<\/a><\/li><li role=\"presentation\" ><a href=\"#anfis\" class=\"link-prev_def\" aria-controls=\"anfis\" role=\"tab\" data-toggle=\"tab\">Adaptive-Network-based Fuzzy Inference System (ANFIS)<\/a><\/li><\/ul>\n    <\/nav>\n    <div class=\"journal-papers-mound-wrap tab-content\"><div class=\"journal-papers-mound tab-pane fade in active\" id=\"two-phase-flow\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Two Phase Flow<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-81957-3\" target=\"_self\">10.1038\/s41598-021-81957-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Predicting air superficial velocity of two-phase reactors using ANFIS and CFD<em> , ACS omega, 2020,<\/em> <strong>Vol. 6<\/strong>, pp. 239-252.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Gbell learning function along with fuzzy mechanism in prediction of two-phase flow<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 25882-25890.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>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<em> , ACS omega, 2020, <\/em> <strong>Vol. 5<\/strong>, pp. 16284-16291. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid\u2010phase chemical reactors: Development of 3D hybrid model based on CFD\u2010adaptive network\u2010based fuzzy inference system<em> The Canadian Journal of Chemical Engineering, 2019<\/em> <strong> Vol. 97<\/strong>, pp. 1676-1684. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1002\/cjce.23378\" target=\"_self\">10.1002\/cjce.23378<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"porous\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Porous Medium<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-90201-x\" target=\"_self\">10.1038\/s41598-021-90201-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results<em> , Scientific Reports, 2021<\/em> <strong>Vol. 11<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79913-8\" target=\"_self\">10.1038\/s41598-020-79913-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pressure and temperature predictions of Al2O3\/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79689-x\" target=\"_self\">10.1038\/s41598-020-79689-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 30826-30835.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"particle-swarm-optimization-algorism\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Particle Swarm Optimization algorism (PSO)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Rahmad Syah, Marischa Elveny, Mahyuddin KM Nasution, Vadim V Ponkratov, Mariya Yurievna Kuznetsova, Andrey Leonidovich Poltarykhin, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-9.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-00279-6\" target=\"_self\">10.1038\/s41598-021-00279-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>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<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-81111-z\" target=\"_self\">10.1038\/s41598-021-81111-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-74858-4\" target=\"_self\">10.1038\/s41598-020-74858-4<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"nanofluid\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Nanofluid<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Rahmad Syah, Marischa Elveny, Mahyuddin KM Nasution, Vadim V Ponkratov, Mariya Yurievna Kuznetsova, Andrey Leonidovich Poltarykhin, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-9.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-00279-6\" target=\"_self\">10.1038\/s41598-021-00279-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Miralireza Nabavi, Marischa Elveny, Svetlana Dmitrievna Danshina, Iman Behroyan, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of Cu\/water nanofluid convective flow in a circular tube: Learning CFD data by differential evolution algorithm based fuzzy inference system (DEFIS)<em> , International Communications in Heat and Mass Transfer, 2021,<\/em> <strong>Vol. 126<\/strong>, pp. 105373.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2021.105373\" target=\"_self\">10.1016\/j.icheatmasstransfer.2021.105373<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-90201-x\" target=\"_self\">10.1038\/s41598-021-90201-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-80207-2\" target=\"_self\">10.1038\/s41598-020-80207-2<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-18.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79628-w\" target=\"_self\">10.1038\/s41598-020-79628-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results<em> , Scientific Reports, 2021<\/em> <strong>Vol. 11<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79913-8\" target=\"_self\">10.1038\/s41598-020-79913-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pressure and temperature predictions of Al2O3\/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79689-x\" target=\"_self\">10.1038\/s41598-020-79689-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79293-z\" target=\"_self\">10.1038\/s41598-020-79293-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Azam Marjani, Meisam Babanezhad, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu\/water nanofluid convective flow<em> , Case Studies in Thermal Engineering, 2020,<\/em> <strong>Vol. 22<\/strong>, pp. 100793.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1016\/j.csite.2020.100793\" target=\"_self\">10.1016\/j.csite.2020.100793<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72182-5\" target=\"_self\">10.1038\/s41598-020-72182-5<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Samyar Zabihi, Ali Taghvaie Nakhjiri, Azam Marjani, Iman Behroyan, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of nanofluid characteristics and flow pattern on artificial differential evolution learning nodes and fuzzy framework<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 22091-22098. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Panpan Xu, Meisam Babanezhad, Hooman Yarmand, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods<em> , Journal of Visualization, <\/em> <strong> Vol. 23<\/strong>, pp. 97-110. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s12650-019-00614-0\" target=\"_self\">10.1007\/s12650-019-00614-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"heat-transfer\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Heat Transfer<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-18.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79628-w\" target=\"_self\">10.1038\/s41598-020-79628-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79293-z\" target=\"_self\">10.1038\/s41598-020-79293-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78751-y\" target=\"_self\">10.1038\/s41598-020-78751-y<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of nanofluid temperature inside the cavity by integration of grid partition clustering categorization of a learning structure with the fuzzy system<em> , ACS omega, 2020, <\/em> <strong> Vol. 5<\/strong>, pp. 3571-3578. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"genetic-algorithm-ga\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Genetic Algorithm (GA)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\"><\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Numerical investigation of water forced convection inside a copper metal foam tube: Genetic algorithm (GA) based fuzzy inference system (GAFIS) contribution with CFD modeling<em> <\/em> <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Tiziana Ciano, Massimiliano Ferrara, Meisam Babanezhad, Afrasyab Khan, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-90201-x\" target=\"_self\">10.1038\/s41598-021-90201-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-80207-2\" target=\"_self\">10.1038\/s41598-020-80207-2<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"fluid-flow\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Fluid Flow<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Iman Behroyan, Vyacheslav Petrenko, Fariza Tebueva, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Investigation of Input Variables Influence in Patterns Learning of Fluid Flow Behavior Using Fuzzy Differential Evolution<em> , Arabian Journal for Science and Engineering, 2022,<\/em> <\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s13369-022-06923-1\" target=\"_self\">10.1007\/s13369-022-06923-1<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\"><\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Numerical investigation of water forced convection inside a copper metal foam tube: Genetic algorithm (GA) based fuzzy inference system (GAFIS) contribution with CFD modeling<em> <\/em> <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS<em> , Neural Computing and Applications, 2021,<\/em> <strong>Vol. 33<\/strong>, pp. 6819-6833.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05458-6\" target=\"_self\">10.1007\/s00521-020-05458-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>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<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-81111-z\" target=\"_self\">10.1038\/s41598-021-81111-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-76260-6\" target=\"_self\">10.1038\/s41598-020-76260-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Simulation of liquid flow with a combination artificial intelligence flow field and Adams\u2013Bashforth method<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72602-6\" target=\"_self\">10.1038\/s41598-020-72602-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS)<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-20.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-73175-0\" target=\"_self\">10.1038\/s41598-020-73175-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72926-3\" target=\"_self\">10.1038\/s41598-020-72926-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k\u2013\u03b5 turbulence and Eulerian model data set<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1\u201312. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-70672-0\" target=\"_self\">10.1038\/s41598-020-70672-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Developing intelligent algorithm as a machine learning overview over the big data generated by Euler\u2013Euler method to simulate bubble column reactor hydrodynamics<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 20558-20566. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Quyen Nguyen, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model<em> , PLoS One, 2020, <\/em> <strong>Vol. 15<\/strong>, pp. e0233850. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0233850\" target=\"_self\">10.1371\/journal.pone.0233850<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"deferential-evolution-algorism\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Differential Evolution algorism (DE)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Iman Behroyan, Vyacheslav Petrenko, Fariza Tebueva, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Investigation of Input Variables Influence in Patterns Learning of Fluid Flow Behavior Using Fuzzy Differential Evolution<em> , Arabian Journal for Science and Engineering, 2022,<\/em> <\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s13369-022-06923-1\" target=\"_self\">10.1007\/s13369-022-06923-1<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Applications and performance of fuzzy differential evolution (DEFIS) in CFD modeling of heat and mass transfer<em> , Differential Evolution: From Theory to Practice, 2022,<\/em> Springer, Singapore<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/978-981-16-8082-3_14\" target=\"_self\">10.1007\/978-981-16-8082-3_14<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Miralireza Nabavi, Marischa Elveny, Svetlana Dmitrievna Danshina, Iman Behroyan, Meisam Babanezhad<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of Cu\/water nanofluid convective flow in a circular tube: Learning CFD data by differential evolution algorithm based fuzzy inference system (DEFIS)<em> , International Communications in Heat and Mass Transfer, 2021,<\/em> <strong>Vol. 126<\/strong>, pp. 105373.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1016\/j.icheatmasstransfer.2021.105373\" target=\"_self\">10.1016\/j.icheatmasstransfer.2021.105373<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Samyar Zabihi, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-81957-3\" target=\"_self\">10.1038\/s41598-021-81957-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results<em> , Scientific Reports, 2021<\/em> <strong>Vol. 11<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79913-8\" target=\"_self\">10.1038\/s41598-020-79913-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78277-3\" target=\"_self\">10.1038\/s41598-020-78277-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Samyar Zabihi, Ali Taghvaie Nakhjiri, Azam Marjani, Iman Behroyan, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of nanofluid characteristics and flow pattern on artificial differential evolution learning nodes and fuzzy framework<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 22091-22098. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"cfd-modelling\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">CFD modelling<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Applications and performance of fuzzy differential evolution (DEFIS) in CFD modeling of heat and mass transfer<em> , Differential Evolution: From Theory to Practice, 2022,<\/em> Springer, Singapore<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/978-981-16-8082-3_14\" target=\"_self\">10.1007\/978-981-16-8082-3_14<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>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<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-81111-z\" target=\"_self\">10.1038\/s41598-021-81111-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results<em> , Scientific Reports, 2021<\/em> <strong>Vol. 11<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79913-8\" target=\"_self\">10.1038\/s41598-020-79913-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Predicting air superficial velocity of two-phase reactors using ANFIS and CFD<em> , ACS omega, 2020,<\/em> <strong>Vol. 6<\/strong>, pp. 239-252.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78277-3\" target=\"_self\">10.1038\/s41598-020-78277-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 30826-30835.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-76260-6\" target=\"_self\">10.1038\/s41598-020-76260-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Simulation of liquid flow with a combination artificial intelligence flow field and Adams\u2013Bashforth method<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72602-6\" target=\"_self\">10.1038\/s41598-020-72602-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72926-3\" target=\"_self\">10.1038\/s41598-020-72926-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Yan Cao, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM<em> , Neural Computing and Applications, 2020,<\/em> <strong>Vol. 32<\/strong>, pp. 13313-13321.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s00521-019-04677-w\" target=\"_self\">10.1007\/s00521-019-04677-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k\u2013\u03b5 turbulence and Eulerian model data set<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1\u201312. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-70672-0\" target=\"_self\">10.1038\/s41598-020-70672-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Quyen Nguyen, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model<em> , PLoS One, 2020, <\/em> <strong>Vol. 15<\/strong>, pp. e0233850. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0233850\" target=\"_self\">10.1371\/journal.pone.0233850<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Simulation of a bubble-column reactor by three-dimensional CFD: multidimension-and function-adaptive network-based fuzzy inference system<em> , International Journal of Fuzzy Systems, 2020,<\/em> <strong>Vol. 22<\/strong>, pp. 477-490. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s40815-019-00741-8\" target=\"_self\">10.1007\/s40815-019-00741-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of nanofluid temperature inside the cavity by integration of grid partition clustering categorization of a learning structure with the fuzzy system<em> , ACS omega, 2020, <\/em> <strong> Vol. 5<\/strong>, pp. 3571-3578. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Panpan Xu, Meisam Babanezhad, Hooman Yarmand, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods<em> , Journal of Visualization, <\/em> <strong> Vol. 23<\/strong>, pp. 97-110. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s12650-019-00614-0\" target=\"_self\">10.1007\/s12650-019-00614-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid\u2010phase chemical reactors: Development of 3D hybrid model based on CFD\u2010adaptive network\u2010based fuzzy inference system<em> The Canadian Journal of Chemical Engineering, 2019<\/em> <strong> Vol. 97<\/strong>, pp. 1676-1684. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1002\/cjce.23378\" target=\"_self\">10.1002\/cjce.23378<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"bubble-column-reactor-bcr\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Bubble Column Reactor (BCR)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Hao Liang, Meisam Babanezhad, Narjes Nabipour, Maryam Heidarifard, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of fluid interface between dispersed and matrix phases by Lattice Boltzmann-adaptive network-based fuzzy inference system<em> , Journal of Experimental &amp; Theoretical Artificial Intelligence, 2021,<\/em> <strong>Vol. 33<\/strong>, pp. 1001-1013.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1080\/0952813X.2020.1808081\" target=\"_self\">10.1080\/0952813X.2020.1808081<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Predicting air superficial velocity of two-phase reactors using ANFIS and CFD<em> , ACS omega, 2020,<\/em> <strong>Vol. 6<\/strong>, pp. 239-252.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78751-y\" target=\"_self\">10.1038\/s41598-020-78751-y<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78388-x\" target=\"_self\">10.1038\/s41598-020-78388-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78277-3\" target=\"_self\">10.1038\/s41598-020-78277-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-74858-4\" target=\"_self\">10.1038\/s41598-020-74858-4<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k\u2013\u03b5 turbulence and Eulerian model data set<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1\u201312. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-70672-0\" target=\"_self\">10.1038\/s41598-020-70672-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Developing intelligent algorithm as a machine learning overview over the big data generated by Euler\u2013Euler method to simulate bubble column reactor hydrodynamics<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 20558-20566. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Simulation of a bubble-column reactor by three-dimensional CFD: multidimension-and function-adaptive network-based fuzzy inference system<em> , International Journal of Fuzzy Systems, 2020,<\/em> <strong>Vol. 22<\/strong>, pp. 477-490. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s40815-019-00741-8\" target=\"_self\">10.1007\/s40815-019-00741-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants<em> , Engineering Applications of Computational Fluid Mechanics, 2020.<\/em> <strong> Vol. 14<\/strong>, pp. 367-378<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1080\/19942060.2020.1715842\" target=\"_self\">10.1080\/19942060.2020.1715842<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"ant-colony-optimization-algorism-aco\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Ant Colony Optimization algorism (ACO)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pressure and temperature predictions of Al2O3\/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 11<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79689-x\" target=\"_self\">10.1038\/s41598-020-79689-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Amir Heydarinasab, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78751-y\" target=\"_self\">10.1038\/s41598-020-78751-y<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-12.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-76260-6\" target=\"_self\">10.1038\/s41598-020-76260-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-74858-4\" target=\"_self\">10.1038\/s41598-020-74858-4<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Shahaboddin Shamshirband, Meisam Babanezhad, Amir Mosavi, Narjes Nabipour, Eva Hajnal, Laszlo Nadai, Kwok-Wing Chau<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of flow characteristics in the bubble column reactor by the artificial pheromone-based communication of biological ants<em> , Engineering Applications of Computational Fluid Mechanics, 2020.<\/em> <strong> Vol. 14<\/strong>, pp. 367-378<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1080\/19942060.2020.1715842\" target=\"_self\">10.1080\/19942060.2020.1715842<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><div class=\"journal-papers-mound tab-pane fade \" id=\"anfis\" role=\"tabpanel\"><nav class=\"journal-papers-mound-nav\"><h3 class=\"nav-title\">Adaptive-Network-based Fuzzy Inference System (ANFIS)<\/h3><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Hao Liang, Meisam Babanezhad, Narjes Nabipour, Maryam Heidarifard, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of fluid interface between dispersed and matrix phases by Lattice Boltzmann-adaptive network-based fuzzy inference system<em> , Journal of Experimental &amp; Theoretical Artificial Intelligence, 2021,<\/em> <strong>Vol. 33<\/strong>, pp. 1001-1013.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1080\/0952813X.2020.1808081\" target=\"_self\">10.1080\/0952813X.2020.1808081<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Artificial intelligence simulation of suspended sediment load with different membership functions of ANFIS<em> , Neural Computing and Applications, 2021,<\/em> <strong>Vol. 33<\/strong>, pp. 6819-6833.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s00521-020-05458-6\" target=\"_self\">10.1007\/s00521-020-05458-6<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Zahra Pourtousi, Sadaf Khalijian, Afsaneh Ghanizadeh, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-17.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-021-89005-w\" target=\"_self\">10.1038\/s41598-021-89005-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe<em> , Scientific Reports, 2021,<\/em> <strong>Vol. 11<\/strong>, pp. 1-18.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79628-w\" target=\"_self\">10.1038\/s41598-020-79628-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Predicting air superficial velocity of two-phase reactors using ANFIS and CFD<em> , ACS omega, 2020,<\/em> <strong>Vol. 6<\/strong>, pp. 239-252.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79293-z\" target=\"_self\">10.1038\/s41598-020-79293-z<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-14.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-78388-x\" target=\"_self\">10.1038\/s41598-020-78388-x<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Azam Marjani, Meisam Babanezhad, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu\/water nanofluid convective flow<em> , Case Studies in Thermal Engineering, 2020,<\/em> <strong>Vol. 22<\/strong>, pp. 100793.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1016\/j.csite.2020.100793\" target=\"_self\">10.1016\/j.csite.2020.100793<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Iman Behroyan, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Computational modeling of transport in porous media using an adaptive network-based fuzzy inference system<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 30826-30835.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-10.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-74858-4\" target=\"_self\">10.1038\/s41598-020-74858-4<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Armin Masoumian, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS)<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-20.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-73175-0\" target=\"_self\">10.1038\/s41598-020-73175-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Gbell learning function along with fuzzy mechanism in prediction of two-phase flow<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 25882-25890.<\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-13.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72926-3\" target=\"_self\">10.1038\/s41598-020-72926-3<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Mahboubeh Pishnamazi, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1-11.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-72182-5\" target=\"_self\">10.1038\/s41598-020-72182-5<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Yan Cao, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of fluid pattern in a shear flow on intelligent neural nodes using ANFIS and LBM<em> , Neural Computing and Applications, 2020,<\/em> <strong>Vol. 32<\/strong>, pp. 13313-13321.<\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s00521-019-04677-w\" target=\"_self\">10.1007\/s00521-019-04677-w<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k\u2013\u03b5 turbulence and Eulerian model data set<em> , Scientific Reports, 2020,<\/em> <strong>Vol. 10<\/strong>, pp. 1\u201312. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1038\/s41598-020-70672-0\" target=\"_self\">10.1038\/s41598-020-70672-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Developing intelligent algorithm as a machine learning overview over the big data generated by Euler\u2013Euler method to simulate bubble column reactor hydrodynamics<em> , ACS omega, 2020,<\/em> <strong>Vol. 5<\/strong>, pp. 20558-20566. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>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<em> , ACS omega, 2020, <\/em> <strong>Vol. 5<\/strong>, pp. 16284-16291. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Erlin Tian, Meisam Babanezhad, Mashallah Rezakazemi, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Simulation of a bubble-column reactor by three-dimensional CFD: multidimension-and function-adaptive network-based fuzzy inference system<em> , International Journal of Fuzzy Systems, 2020,<\/em> <strong>Vol. 22<\/strong>, pp. 477-490. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s40815-019-00741-8\" target=\"_self\">10.1007\/s40815-019-00741-8<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Narjes Nabipour, Meisam Babanezhad, Ali Taghvaie Nakhjiri, Saeed Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Prediction of nanofluid temperature inside the cavity by integration of grid partition clustering categorization of a learning structure with the fuzzy system<em> , ACS omega, 2020, <\/em> <strong> Vol. 5<\/strong>, pp. 3571-3578. <\/p>\n                                <\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">Panpan Xu, Meisam Babanezhad, Hooman Yarmand, Azam Marjani<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Flow visualization and analysis of thermal distribution for the nanofluid by the integration of fuzzy c-means clustering ANFIS structure and CFD methods<em> , Journal of Visualization, <\/em> <strong> Vol. 23<\/strong>, pp. 97-110. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1007\/s12650-019-00614-0\" target=\"_self\">10.1007\/s12650-019-00614-0<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><nav class=\"journal-papers-mound-nav\"><\/nav>\n                <div class=\"journal-papers-list\">\n                    <div class=\"journal-papers\">\n                        <div class=\"row\">\n                            <div class=\"col-sm-3\">\n                                <p class=\"jp-name\">M Babanezhad, M Rezakazemi, N Hajilary, S Shirazian<\/p>\n                            <\/div>\n                            <div class=\"col-sm-6\">\n                                <div class=\"journal-papers-meta\">\n                                    <p>Liquid\u2010phase chemical reactors: Development of 3D hybrid model based on CFD\u2010adaptive network\u2010based fuzzy inference system<em> The Canadian Journal of Chemical Engineering, 2019<\/em> <strong> Vol. 97<\/strong>, pp. 1676-1684. <\/p>\n                                <\/div>\n                            <\/div><div class=\"col-sm-3\">\n                                <div class=\"journal-papers-doi\"><span>DOI:<\/span> <a href=\"https:\/\/doi.org\/10.1002\/cjce.23378\" target=\"_self\">10.1002\/cjce.23378<\/a><\/div>\n                            <\/div><\/div>\n                    <\/div><!-- \/.journal-papers -->\n                <\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-2548","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/pages\/2548","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/shunderman.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2548"}],"version-history":[{"count":4,"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/pages\/2548\/revisions"}],"predecessor-version":[{"id":2602,"href":"https:\/\/shunderman.com\/index.php?rest_route=\/wp\/v2\/pages\/2548\/revisions\/2602"}],"wp:attachment":[{"href":"https:\/\/shunderman.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2548"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}