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Ahmadi, Mohammad Hossein, Mohseni-Gharyehsafa, Behnam, Ghazvini, Mahyar, Goodarzi, Marjan, Jilte, Ravindra D., Kumar, Ravinder (2020) Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid. Journal of Thermal Analysis and Calorimetry, 139 (4) 2585-2599 doi:10.1007/s10973-019-08762-z

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Reference TypeJournal (article/letter/editorial)
TitleComparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid
JournalJournal of Thermal Analysis and Calorimetry
AuthorsAhmadi, Mohammad HosseinAuthor
Mohseni-Gharyehsafa, BehnamAuthor
Ghazvini, MahyarAuthor
Goodarzi, MarjanAuthor
Jilte, Ravindra D.Author
Kumar, RavinderAuthor
Year2020 (February)Volume139
Issue4
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s10973-019-08762-zSearch in ResearchGate
Generate Citation Formats
Mindat Ref. ID16455992Long-form Identifiermindat:1:5:16455992:9
GUID0
Full ReferenceAhmadi, Mohammad Hossein, Mohseni-Gharyehsafa, Behnam, Ghazvini, Mahyar, Goodarzi, Marjan, Jilte, Ravindra D., Kumar, Ravinder (2020) Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid. Journal of Thermal Analysis and Calorimetry, 139 (4) 2585-2599 doi:10.1007/s10973-019-08762-z
Plain TextAhmadi, Mohammad Hossein, Mohseni-Gharyehsafa, Behnam, Ghazvini, Mahyar, Goodarzi, Marjan, Jilte, Ravindra D., Kumar, Ravinder (2020) Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid. Journal of Thermal Analysis and Calorimetry, 139 (4) 2585-2599 doi:10.1007/s10973-019-08762-z
In(2020, February) Journal of Thermal Analysis and Calorimetry Vol. 139 (4) Springer Science and Business Media LLC

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