Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zhiwen Hua"'
Autor:
Danzhou Huang, Zhiwen Hua, Xinchu Wang, Jiaheng Yan, Wei Xin, Jinhua Li, Xianbao Wang, Lai Wei, Jianying Wang
Publikováno v:
Next Materials, Vol 5, Iss , Pp 100277- (2024)
Creation of novel fluorescent nanomaterials with high photoluminescence quantum yield (PLQY) will lead to high-efficiency luminescent solar concentrators (LSCs). Herein, two kinds of carbon dots (CDs), e.g., blue and green emissive CDs and one novel
Externí odkaz:
https://doaj.org/article/9e4bff86bb244c1fa4e24a48b0f71302
Autor:
Yanhua Yang, Suxia Guo, Ziyao Huang, Chunhua Deng, Lihua Chen, Guoxiang Zhou, Zhengwei Jian, Ruping He, Zhichao Huang, Yongzhao Yao, Jiongbin Lu, Zhiwen Hua, Yuli Huang
Publikováno v:
Cardiology Research and Practice, Vol 2020 (2020)
Background. There are no proven effective treatments that can reduce the mortality in heart failure with preserved ejection fraction (HFpEF), probably due to its heterogeneous nature which will weaken the effect of therapy in clinical studies. We eva
Externí odkaz:
https://doaj.org/article/5178927535ef49ac8c569a834d45e387
Autor:
Zhiwen Hua, Youlong Yang
Publikováno v:
Applied Intelligence. 52:3337-3351
Traditional graph-based semi-supervised classification algorithms are usually composed of two independent parts: graph construction and label propagation. However, the predefined graph may not be optimal for label propagation, and these methods usual
Publikováno v:
Neural Computing and Applications. 33:2753-2768
Graph-based semi-supervised learning (GSSL) has received more and more attention due to its efficiency and accuracy. Label propagation is a critical step in GSSL that propagates label information to unlabeled data through the structure of graph. Howe
Autor:
Ziyao Huang, Chunhua Deng, Jian Zhengwei, Yao Yongzhao, Guo Suxia, He Ruping, Lihua Chen, Zhiwen Hua, Zhou Guoxiang, Yanhua Yang, Jiongbin Lu, Huang Zhichao, Yuli Huang
Publikováno v:
Cardiology Research and Practice
Cardiology Research and Practice, Vol 2020 (2020)
Cardiology Research and Practice, Vol 2020 (2020)
Background. There are no proven effective treatments that can reduce the mortality in heart failure with preserved ejection fraction (HFpEF), probably due to its heterogeneous nature which will weaken the effect of therapy in clinical studies. We eva
Publikováno v:
Journal of Fruit Science; 2024, Vol. 41 Issue 7, p1469-1474, 6p
Publikováno v:
Journal of Railway Science & Engineering; Dec2023, Vol. 20 Issue 12, p4636-4644, 9p
Autor:
Hua, Zhiwen1 (AUTHOR) zwhua@stu.xidian.edu.cn, Yang, Youlong1 (AUTHOR), Qiu, Haiquan1,2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Apr2021, Vol. 33 Issue 7, p2753-2768. 16p.
Decreased Mortality with Beta-Blocker Therapy in HFpEF Patients Associated with Atrial Fibrillation.
Autor:
Yang, Yanhua1 (AUTHOR), Guo, Suxia1 (AUTHOR), Huang, Ziyao1 (AUTHOR), Deng, Chunhua1 (AUTHOR), Chen, Lihua1 (AUTHOR), Zhou, Guoxiang1 (AUTHOR), Jian, Zhengwei1 (AUTHOR), He, Ruping1 (AUTHOR), Huang, Zhichao1 (AUTHOR), Yao, Yongzhao1 (AUTHOR), Lu, Jiongbin1 (AUTHOR), Hua, Zhiwen1 (AUTHOR), Huang, Yuli2 (AUTHOR)
Publikováno v:
Cardiology Research & Practice. 5/13/2020, p1-7. 7p.
Publikováno v:
Journal of Railway Science & Engineering; Jul2023, Vol. 20 Issue 7, p2561-2571, 11p