Электронная библиотека (репозиторий) Томского государственного университета

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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. ... More
Source: Renewable energy. 2023. Vol. 216. P. 119037 (1-15)
Type: статьи в журналах
Date: 2023
Description: Building on previous findings that showed the efficacy of microencapsulated phase change materials (MicroPCM) in augmenting liquid desiccant dehumidification performance, this study endeavors to furth ... More
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