Электронная библиотека (репозиторий) Томского государственного университета
2023 | Sheremet, Mikhail A. | глубокие нейронные сети

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Add   A hybrid deep learning - CFD approach for modeling nanoparticles’ sedimentation processes for possible application in clean energy systems
Authors: Mesgarpour, Mehrdad | Mahian, Omid | Zhang, Ping | Wongwises, Somchai | Wang, Lianping | Ahmadi, Goodarz | Nižetić, Sandro | Sheremet, Mikhail A. | Shadloo, Mostafa Safdari
Source: Journal of cleaner production. 2023. Vol. 399. P. 136532 (1-19)
Type: статьи в журналах
Date: 2023
Description: Sedimentation directly affects the thermal performance and efficiency of thermal systems such as boilers, heat exchangers, and solar collectors. This work investigates the effect of nanoparticles depo ... More
Add   An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks
Authors: Ghalambaz, Mohammad | Edalatifar, Mohammad | Maryamnegar, Sara Moradi | Sheremet, Mikhail A.
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
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