Zobrazeno 1 - 10
of 218
pro vyhledávání: '"Chen Lixing"'
Autor:
Yang Sirui, Cai Hongyan, Hu Zhao, Huang Wei, Fu Qin, Xia Ping, Gu Wenyi, Shi Tao, Yang Fazhi, Chen Lixing
Publikováno v:
Open Medicine, Vol 19, Iss 1, Pp 368-78 (2024)
Heart failure (HF) is a common cardiovascular disease that is related to systemic inflammation. This study aimed to assess the role of C-reactive protein (CRP) combined with fibrinogen-to-albumin ratio (C-FAR) on the prognosis of all-cause mortality
Externí odkaz:
https://doaj.org/article/4ae51f34d8be406c8b9bed299e519b85
STOchastic Recursive Momentum (STORM)-based algorithms have been widely developed to solve one to $K$-level ($K \geq 3$) stochastic optimization problems. Specifically, they use estimators to mitigate the biased gradient issue and achieve near-optima
Externí odkaz:
http://arxiv.org/abs/2407.05286
Multi-agent perception (MAP) allows autonomous systems to understand complex environments by interpreting data from multiple sources. This paper investigates intermediate collaboration for MAP with a specific focus on exploring "good" properties of c
Externí odkaz:
http://arxiv.org/abs/2403.10068
Publikováno v:
MATEC Web of Conferences, Vol 355, p 03033 (2022)
Based on the analysis of the multi-mode data of ship mechatronics and the new human-computer interaction regulations for safety driving, a new safety driving regulation based on multi-mode data is put forward. The new regulations for ship safe drivin
Externí odkaz:
https://doaj.org/article/1badf84ba44a46cbb53f00a299250292
Autor:
Zhu, Yinghao, Peng, Di, Zhang, Enkang, Pan, Bingying, Chen, Xu, Chen, Lixing, Ren, Huifen, Liu, Feiyang, Hao, Yiqing, Li, Nana, Xing, Zhenfang, Lan, Fujun, Han, Jiyuan, Wang, Junjie, Jia, Donghan, Wo, Hongliang, Gu, Yiqing, Gu, Yimeng, Ji, Li, Wang, Wenbin, Gou, Huiyang, Shen, Yao, Ying, Tianping, Chen, Xiaolong, Yang, Wenge, Cao, Huibo, Zheng, Changlin, Zeng, Qiaoshi, Guo, Jian-gang, Zhao, Jun
Publikováno v:
Nature 631, 531-536 (2024)
The pursuit of discovering new high-temperature superconductors that diverge from the copper-based paradigm1-3 carries profound implications for elucidating mechanisms behind superconductivity and may also enable new applications4-8. Here, our invest
Externí odkaz:
http://arxiv.org/abs/2311.07353
Publikováno v:
In Preventive Medicine Reports November 2024 47
The rapid uptake of intelligent applications is pushing deep learning (DL) capabilities to Internet-of-Things (IoT). Despite the emergence of new tools for embedding deep neural networks (DNNs) into IoT devices, providing satisfactory Quality of Expe
Externí odkaz:
http://arxiv.org/abs/2112.06918
Federated Learning (FL) has been considered as an appealing framework to tackle data privacy issues of mobile devices compared to conventional Machine Learning (ML). Using Edge Servers (ESs) as intermediaries to perform model aggregation in proximity
Externí odkaz:
http://arxiv.org/abs/2112.00925
Autor:
Yu, Fangming, He, Ziang, Xin, Xiaomin, Shi, Xinwei, Chen, Lixing, He, Xinying, Huang, Yueying, Li, Yi
Publikováno v:
In Journal of Hazardous Materials 5 December 2024 480
Publikováno v:
In Computers & Security July 2024 142