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Source: Neural computing and applications. 2023. Vol. 35, № 27. P. 19719-19727
Type: статьи в журналах
Date: 2023
Description:
A deep neural network is utilized to classify the parameters of a natural convection heat transfer of a nano-encapsulated phase change material suspension using the isotherm images for the first time.
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Source: Applied thermal engineering. 2023. Vol. 234. P. 121319 (1-19)
Type: статьи в журналах
Date: 2023
Description:
Latent Heat Thermal Energy Storage (LHTES) systems are essential due to their remarkable ability to compactly store significant thermal energy. Their pivotal role extends to various energy application
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