Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Weien Zhou"'
Publikováno v:
IET Image Processing, Vol 17, Iss 9, Pp 2575-2584 (2023)
Abstract Deep Neural Networks have been successfully applied in hyperspectral image classification. However, most of prior works adopt general deep architectures while ignore the intrinsic structure of the hyperspectral image, such as the physical no
Externí odkaz:
https://doaj.org/article/7e63bc66886f46c7818fbd003ad53f67
Publikováno v:
IEEE Access, Vol 8, Pp 140038-140053 (2020)
Heat source layout design is an effective technique to enhance the thermal performance in the whole system, which has become a vital part in many engineering fields, e.g. satellite layout design and integrated circuit design. Traditionally, the optim
Externí odkaz:
https://doaj.org/article/e1f501238a8c42adb8e1170793318aed
Publikováno v:
Space: Science & Technology, Vol 2022 (2022)
In the satellite overall design phase, it is a crucial step to perform satellite layout design to guarantee that the aggregation of electronic components can operate normally and stably in an appropriate temperature environment. In order to handle th
Externí odkaz:
https://doaj.org/article/27cde1e492954d559595767b6ab1ed18
Publikováno v:
Neurocomputing. 537:128-140
Publikováno v:
Annals of Operations Research.
In satellite layout design, heat source layout optimization (HSLO) is an effective technique to decrease the maximum temperature and improve the heat management of the whole system. Recently, deep learning surrogate assisted HSLO has been proposed, w
Publikováno v:
International Journal of Heat and Mass Transfer. 211:124205
Publikováno v:
Structural and Multidisciplinary Optimization. 64:3423-3438
Surrogates have been widely used for replacing computationally costly computer simulations. To improve the prediction accuracy with less sampling cost, sequential sampling is often used to seek targeted training samples for surrogate modeling. Previo
Physics-informed neural networks (PINNs) have been proposed to solve two main classes of problems: data-driven solutions and data-driven discovery of partial differential equations. This task becomes prohibitive when such data is highly corrupted due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79005facbd67a4c1020a368dcb2d1725
http://arxiv.org/abs/2210.10646
http://arxiv.org/abs/2210.10646
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 411:116052
Deep Neural Networks have been successfully applied in hyperspectral image classification. However, most of prior works adopt general deep architectures while ignore the intrinsic structure of the hyperspectral image, such as the physical noise gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::162bbba4a210002255595165e5a67a1a
http://arxiv.org/abs/2205.12459
http://arxiv.org/abs/2205.12459