关注
Masoud Vakili
Masoud Vakili
在 adelaide.edu.au 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
1512016
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
1062017
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
1002016
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
922016
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
912016
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
872017
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
702015
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
632017
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
412017
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
382021
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
372016
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
142023
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
82020
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
42021
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
32022
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
22018
系统目前无法执行此操作,请稍后再试。
文章 1–16