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Using Gaussian Process Regression (GPR) models with the MatÃÂÃÂÃÂÃÂÃÂÃÂÃÂérn covariance function to predict the dynamic viscosity and torque of SiO 2 /Ethylene glycol nanofluid: A machine learning approach |
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