Zobrazeno 1 - 10
of 206
pro vyhledávání: '"Wang, Ya'nan"'
Publikováno v:
Journal of Practical Medicine / Shiyong Yixue Zazhi. 6/10/2024, Vol. 40 Issue 11, p1549-1559. 6p.
Autor:
Kong, Weiqing, Ren, Ya, Zhang, Changru, Wang, Ya'nan, Li, Jianyi, Du, Yukun, Mi, Xuelian, Yue, Xiaokun, Zeng, Hong, Liu, Yihao, Niu, Haoyi, Wang, Jinwu, Xi, Yongming
Publikováno v:
In Composites Part B 1 July 2024 280
Autor:
Hou, Yachao, Liu, Xinping, Wang, Ya'nan, Guo, Liang, Wu, Lvying, Xia, Wenrong, Zhao, Yongqi, Xing, Weiwei, Chen, Jin, Chen, Changguo
Publikováno v:
In Infectious Medicine June 2024 3(2)
Publikováno v:
Journal of Beijing University of Traditional Chinese Medicine. 2024, Vol. 47 Issue 2, p223-237. 15p.
Autor:
Wang, Ya’nan, Yue, Bangkun, Li, Xiaofang, Wang, Fei, Huang, Weijun, Zhang, Yongchang, Jin, Xinxin, Liu, Feng, Duan, Yanmin, Zhu, Haiyong, Li, Zhihong
Publikováno v:
In Measurement 30 September 2024 237
Publikováno v:
In Applied Catalysis B: Environment and Energy 15 September 2024 353
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 7, Pp 1129-1132 (2023)
ObjectiveTo promote the implementation of the food safety strategy and strengthen the integration and application of food safety risk data in agriculture, market regulation, health, and other departments, and solve the problems of inconsisten
Externí odkaz:
https://doaj.org/article/8cb8f0eba6494f788bb8739b10eeaf0c
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 35, Iss 6, Pp 957-960 (2023)
Promoting big data, artificial intelligence and other digital technologies to empower smart supervision is the only way to achieve the informatization of supervision in the new era, and to promote the modernization of national governance systems
Externí odkaz:
https://doaj.org/article/03d183a7ca9a4a9c8968ced3f90f20c7
With the goal of tuning up the brightness, low-light image enhancement enjoys numerous applications, such as surveillance, remote sensing and computational photography. Images captured under low-light conditions often suffer from poor visibility and
Externí odkaz:
http://arxiv.org/abs/2101.08039
It is suggested that low-light image enhancement realizes one-to-many mapping since we have different definitions of NORMAL-light given application scenarios or users' aesthetic. However, most existing methods ignore subjectivity of the task, and sim
Externí odkaz:
http://arxiv.org/abs/2101.00813