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1 Ergebnisse
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Using Gaussian Process Regression (GPR) models with the Mat..:
Dai, Xiaohong
;
Andani, Hamid Taheri
;
Alizadeh, As'ad
...
Engineering Applications of Artificial Intelligence. 122 (2023) - p. 106107 , 2023
Link:
https://doi.org/10.1016/j.engappai.2023.106107
RT Journal T1
Using Gaussian Process Regression (GPR) models with the Matérn covariance function to predict the dynamic viscosity and torque of SiO2/Ethylene glycol nanofluid: A machine learning approach
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.106107&Exemplar=1&LAN=DE A1 Dai, Xiaohong A1 Andani, Hamid Taheri A1 Alizadeh, As'ad A1 Abed, Azher M. A1 Smaisim, Ghassan Fadhil A1 Hadrawi, Salema K. A1 Karimi, Maryam A1 Shamsborhan, Mahmoud A1 Toghraie, D. PB Elsevier BV YR 2023 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 122 SP 106107 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.106107 DO https://doi.org/10.1016/j.engappai.2023.106107 SF ELIB - SuUB Bremen
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