Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rongliang Cheng"'
Autor:
Ling HUANG, Jin SUN, Lei GUO, Yunfei CAI, De CHEN, Tao LIN, Rongliang CHENG, Chenchen XIE, Jing WANG, Zhuohui ZHAO
Publikováno v:
环境与职业医学, Vol 40, Iss 11, Pp 1232-1239 (2023)
BackgroundPublic places are frequently polluted by cigarette smoking, and there is a lack of accurate, real-time, and intelligent monitoring technology to identify smoking behavior. It is necessary to develop a tool to identify cigarette smoking beha
Externí odkaz:
https://doaj.org/article/bc42aa44cec64ada92c33062ed76ea44
Publikováno v:
Water, Vol 16, Iss 14, p 1991 (2024)
In order to better understand the role of coral reefs around an isolated island in mitigating tsunami hazards, this study performed a horizontally two-dimensional (2DH) numerical study of tsunami-like solitary wave propagation and run-up around an id
Externí odkaz:
https://doaj.org/article/36a0d521caa74d1b87c973ce90e2ba35
Publikováno v:
Water, Vol 16, Iss 5, p 746 (2024)
It is of great significance to identify the spatiotemporal stress distribution characteristics to ensure the safety of a super-high arch dam during the initial operation stage. Taking the 285.5 m-high Xiluodu Dam as an example, the spatiotemporal dis
Externí odkaz:
https://doaj.org/article/34f102ac7f084c6894d033dd2ab9549c
Publikováno v:
ACPR
Semantic segmentation is one of the great challenges in computer vision. Recently, deep convolutional neural networks (DCNNs) have achieved great success in most of the computer vision tasks. However, in terms of semantic segmentation, it is still di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::130f9b3a948bfc3f26c86612a22637a6
https://doi.org/10.1109/acpr.2017.31
https://doi.org/10.1109/acpr.2017.31