Zobrazeno 1 - 10
of 547
pro vyhledávání: '"Li, Cen"'
Sequential learning methods such as active learning and Bayesian optimization select the most informative data to learn about a task. In many medical or engineering applications, the data selection is constrained by a priori unknown safety conditions
Externí odkaz:
http://arxiv.org/abs/2402.14402
Autor:
Gao, Ning, Meng, Shuchen, Li, Cen, Meng, Shengguo, Tang, Wankai, Jin, Shi, Matthaiou, Michail
The physical layer authentication (PLA) is a promising technology which can enhance the access security of a massive number of devices in the near future. In this paper, we propose a reconfigurable intelligent surface (RIS)-assisted PLA system, in wh
Externí odkaz:
http://arxiv.org/abs/2309.07736
Wireless networks are vulnerable to physical layer spoofing attacks due to the wireless broadcast nature, thus, integrating communications and security (ICAS) is urgently needed for 6G endogenous security. In this letter, we propose an environment se
Externí odkaz:
http://arxiv.org/abs/2307.08946
Autor:
Sang, Jian, Zhou, Mingyong, Lan, Jifeng, Gao, Boning, Tang, Wankai, Li, Xiao, Jin, Shi, Basar, Ertugrul, Li, Cen, Cheng, Qiang, Cui, Tie Jun
Reconfigurable intelligent surface (RIS)-empowered communication, has been considered widely as one of the revolutionary technologies for next generation networks. However, due to the novel propagation characteristics of RISs, underlying RIS channel
Externí odkaz:
http://arxiv.org/abs/2305.07835
Autor:
Chenxi Tang, Li Cen, Hang Zeng, Xiaofen Zhang, Peihao Liu, Yishu Chen, Xin Song, Bingru Lin, Xuequn Zhang, Chaohui Yu, Chengfu Xu
Publikováno v:
Cellular and Molecular Gastroenterology and Hepatology, Vol 17, Iss 2, Pp 251-265 (2024)
Background & Aims: Acetaminophen (APAP) overdose is the most common cause of drug-induced liver injury worldwide. Uric acid (UA) is involved in sterile inflammation in many organs, but its role in APAP-induced liver injury remains elusive. Methods: W
Externí odkaz:
https://doaj.org/article/0267dc1e8ea240b1821b1f14c14bb935
Multi-output regression problems are commonly encountered in science and engineering. In particular, multi-output Gaussian processes have been emerged as a promising tool for modeling these complex systems since they can exploit the inherent correlat
Externí odkaz:
http://arxiv.org/abs/2203.14849
Autor:
Zhang, Chao-Wen, Zou, Yuan-Feng, Zou, Yun, JiZe, Xiao-Ping, Li, Cen-Yu, Fu, Yu-Ping, Huang, Chao, Li, Li-Xia, Yin, Zhong-Qiong, Wu, Fa-Ming, Rise, Frode, Inngjerdingen, Kari Tvete, Zhang, Sha-Qiu, Zhao, Xing-Hong, Song, Xu, Zhou, Xun, Ye, Gang, Tian, Meng-Liang
Publikováno v:
In International Journal of Biological Macromolecules May 2024 268 Part 2
Publikováno v:
In Journal of Energy Storage 1 May 2024 86 Part A
Publikováno v:
In Food Chemistry: X 30 October 2024 23
Autor:
JiZe, Xiao-Ping, Fu, Yu-Ping, Li, Cen-Yu, Zhang, Chao-Wen, Zhao, Yu-Zhe, Kuang, Yu-Chao, Liu, Si-Qi, Huang, Chao, Li, Li-Xia, Tang, Hua-Qiao, Feng, Bin, Chen, Xing-Fu, Zhao, Xing-Hong, Yin, Zhong-Qiong, Tian, Meng-Liang, Zou, Yuan-Feng
Publikováno v:
In Journal of Ethnopharmacology 5 October 2024 332