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Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

Nanoﬂuids are now considered the most essential constituent of solar thermal collector due to their superior thermal performance over conventional ﬂuids. An accurate determination of the thermal eﬃciency of the solar collector depends on the value of the speciﬁc heat capacity of the nanoﬂuid. So far...

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Main Authors:	Ibrahim, Olanrewaju Alade, Abd Rahman, Mohd Amiruddin, A. Saleh, Tawfik
格式:	Article
语言:	English
出版:	Elsevier 2019
在线阅读:	http://psasir.upm.edu.my/id/eprint/81784/1/20201028%20-%20Predicting%20the%20specific%20heat%20capacity%20of%20alumina_ethylene%20glycol%20nanofluids%20using%20support%20vector%20regression%20model%20optimized%20with%20Bayesian%20algorithm%20.pdf http://psasir.upm.edu.my/id/eprint/81784/ https://www.sciencedirect.com/science/article/abs/pii/S0038092X19301860
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