has been cited by the following article(s):
|
[1]
|
Development of ANN structural optimization framework for data-driven prediction of local two-phase flow parameters
Progress in Nuclear Energy,
2022
DOI:10.1016/j.pnucene.2022.104176
|
|
|
|
|
[2]
|
Development of ANN structural optimization framework for data-driven prediction of local two-phase flow parameters
Progress in Nuclear Energy,
2022
DOI:10.1016/j.pnucene.2022.104176
|
|
|
|
|
[3]
|
Experimental evaluation of heat transfer efficiency of nanofluid in a double pipe heat exchanger and prediction of experimental results using artificial neural networks
Heat and Mass Transfer,
2017
DOI:10.1007/s00231-017-2068-6
|
|
|
|
|
[4]
|
A comprehensive review of thermo-physical properties and convective heat transfer to nanofluids
Energy,
2015
DOI:10.1016/j.energy.2015.06.105
|
|
|
|