Experimental investigation of graphene nanoplatelets nanofluid-based volumetric solar collector for domestic hot water systems M Vakili, SM Hosseinalipour, S Delfani, M Karami Solar Energy 131, 119-130, 2016 | 151 | 2016 |
Evaluating the effect of particulate matter pollution on estimation of daily global solar radiation using artificial neural network modeling based on meteorological data M Vakili, SR Sabbagh-Yazdi, K Kalhor Journal of Cleaner Production 141, 1275-1285, 2017 | 106 | 2017 |
Photothermal properties of graphene nanoplatelets nanofluid for low-temperature direct absorption solar collectors M Vakili, SM Hosseinalipour, S Delfani Solar Energy Materials and Solar Cells 152, 187-191, 2016 | 100 | 2016 |
Experimental evaluation and ANN modeling of thermal conductivity of graphene oxide nanoplatelets/deionized water nanofluid M Tahani, M Vakili International Communications in Heat and Mass Transfer 76, 358-365, 2016 | 92 | 2016 |
Thermal conductivity modeling of graphene nanoplatelets/deionized water nanofluid by MLP neural network and theoretical modeling using experimental results M Vakili, M Yahyaei, K Kalhor International Communications in Heat and Mass Transfer 74, 11-17, 2016 | 91 | 2016 |
A hybrid artificial neural network-genetic algorithm modeling approach for viscosity estimation of graphene nanoplatelets nanofluid using experimental data M Vakili, P Aghajannezhad, M Yahyaei International Communications in Heat and Mass Transfer 82, 40-48, 2017 | 87 | 2017 |
Using artificial neural networks for prediction of global solar radiation in tehran considering particulate matter air pollution M Vakili, SR Sabbagh-Yazdi, K Kalhor Energy Procedia 74, 1205-1212, 2015 | 70 | 2015 |
Experimental study of photothermal specifications and stability of graphene oxide nanoplatelets nanofluid as working fluid for low-temperature Direct Absorption Solar … AM Lavasani, M Vakili Solar Energy Materials and Solar Cells 164, 32-39, 2017 | 63 | 2017 |
Experimental investigation and modeling of thermal conductivity of CuO–water/EG nanofluid by FFBP-ANN and multiple regressions M Vakili, M Karami, S Delfani, K Kalhor Journal of Thermal Analysis and Calorimetry 129 (2), 629-637, 2017 | 41 | 2017 |
Adaptive neuro-fuzzy inference system modeling to predict the performance of graphene nanoplatelets nanofluid-based direct absorption solar collector based on experimental study M Vakili, M Yahyaei, J Ramsay, P Aghajannezhad, B Paknezhad Renewable Energy 163, 807-824, 2021 | 38 | 2021 |
Experimental investigation and modeling of thermal radiative properties of f-CNTs nanofluid by artificial neural network with Levenberg–Marquardt algorithm M Vakili, M Karami, S Delfani International Communications in Heat and Mass Transfer 78, 224-230, 2016 | 37 | 2016 |
A review of recent developments in the application of machine learning in solar thermal collector modelling M Vakili, SA Salehi Environmental Science and Pollution Research 30 (2), 2406-2439, 2023 | 14 | 2023 |
A hybrid genetic–BP algorithm approach for thermal conductivity modeling of nanofluid containing silver nanoparticles coated with PVP B Paknezhad, M Vakili, M Bozorgi, M Hajialibabaie, M Yahyaei Journal of Thermal Analysis and Calorimetry 146 (1), 17-30, 2020 | 8 | 2020 |
Providing an accurate global model for monthly solar radiation forecasting using artificial intelligence based on air quality index and meteorological data of different cities … S Riahi, E Abedini, M Vakili, M Riahi Environmental Science and Pollution Research 28 (36), 49697-49724, 2021 | 4 | 2021 |
Artificial brain structure-based modeling to predict the photo-thermal conversion performance of graphene nanoplatelets nanofluid using experimental data M Yahyaei, M Vakili, B Paknezhad Journal of Thermal Analysis and Calorimetry 147, 109-121, 2022 | 3 | 2022 |
Experimental study based graphene oxide nanoplatelets nanofluid used in domestic application on the performance of direct absorption solar water heaters with indirect … AM Lavasani, S Khosrojerdi, S Delfani, M Vakili AUT J. Mech. Eng., 43-52, 2018 | 2 | 2018 |