Zobrazeno 1 - 10
of 303 968
pro vyhledávání: '"the heat source"'
Autor:
Li, Bo1 (AUTHOR) libohit@hit.edu.cn, Liang, Huimin1 (AUTHOR) hitra@hit.edu.cn, Li, Pinmou2 (AUTHOR) 2021113239@stu.hit.edu.cn, Li, Yuexian2 (AUTHOR) 2024111515@stu.hit.edu.cn, Wang, Aobo1 (AUTHOR) 23s106190@stu.hit.edu.cn
Publikováno v:
Materials (1996-1944). Nov2024, Vol. 17 Issue 22, p5583. 22p.
Publikováno v:
Transactions of the Chinese Society of Agricultural Engineering. Oct2024, Vol. 40 Issue 19, p281-291. 11p.
We examined theoretically, experimentally and numerically the origin of the acoustothermal effect using a standing surface acoustic wave actuated sessile water droplet system. Despite a wealth of experimental studies and a few recent theoretical expl
Externí odkaz:
http://arxiv.org/abs/2410.18755
Autor:
Yuwen, Ziming1,2,3 (AUTHOR), Li, Xinyang1,3 (AUTHOR), Yuan, Guoqin1,3 (AUTHOR), Li, Haixing1,3 (AUTHOR), Zhang, Jichao1,3 (AUTHOR), Zhang, Mingqiang1,3 (AUTHOR), Ding, Yalin1 (AUTHOR) dingyl@ciomp.ac.cn
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6714. 15p.
This study utilizes mathematical modeling to offer computational insights into biological heat transfer within elastic skin tissues. This heat transfer is driven by a moving heat source that relies on various relaxation times. Time delay parameters w
Externí odkaz:
http://arxiv.org/abs/2410.00915
Publikováno v:
Journal of Anhui Agricultural Sciences. 9/8/2024, Vol. 52 Issue 17, p181-184. 4p.
Autor:
Ding, Yongqi1 (AUTHOR) 20225240010@stu.suda.edu.cn, Zhang, Xiaohui1 (AUTHOR) xhzhang@suda.edu.cn
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 15, p3750. 14p.
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 122-134 (2024)
This work aims to investigate the unsteady hydromagnetic free convective flow of a viscous, electrically incompressible fluid influenced by an inclined magnetic field, radiation, and heat source. Specifically, it explores the behavior of water-based
Externí odkaz:
https://doaj.org/article/afad6005ab0349d39c6afb335e4b3afc
Autor:
Chen, Xinyu1 (AUTHOR) cxy18116544991@outlook.com, Song, Minhong1 (AUTHOR) 3230101080@stu.cuit.edu.cn, Wang, Yaqi1 (AUTHOR), Wu, Tongwen2 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4118. 16p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract The variational autoencoder (VAE) architecture has significant advantages in predictive image generation. This study proposes a novel RFCNN-βVAE model, which combines residual-connected fully connected neural networks with VAE to handle mul
Externí odkaz:
https://doaj.org/article/c49193c54d504893bb624691f1c8d34e