An approach to predict the isobaric specific heat capacity of nitrides/ethylene glycol-based nanofluids using support vector regression
This study presents a novel strategy based on Bayesian support vector regression for the estimation of the specific heat capacity of nitrides/ethylene glycol-based nanofluid. The nanoparticles considered are aluminium nitride (AlN), silicon nitride (Si3N4) and titanium nitride (TiN). The proposed mo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/87815/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/87815/ https://www.sciencedirect.com/science/article/pii/S2352152X19316792 |
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