Zobrazeno 1 - 10
of 573
pro vyhledávání: '"Wu Songtao"'
Autor:
Pan Yuan, Wang Zhijiang, Wu Songtao, Zhang Ming, Chen Zhipeng, Rao Bo, Zhu Ping, Yang Yong, Ding Yonghua
Publikováno v:
中国工程科学, Vol 24, Iss 3, Pp 205-213 (2022)
The fusion neutron source is of great significance for conducting material testing for future fusion reactors, as it can genuinely reflect the change of material properties under fusion neutron irradiation. The International Fusion Materials Irradiat
Externí odkaz:
https://doaj.org/article/b37c82dfab0b48cbb430d6dc111a66d7
Publikováno v:
陆军军医大学学报, Vol 44, Iss 11, Pp 1094-1103 (2022)
Objective To investigate the role of exogenous carbon monoxide (CO) in improving anxiety-like behaviors in elderly rats under perioperative stress by inhibiting excessive autophagy of astrocytes. Methods Thirty-six clean healthy male SD rats (aged 18
Externí odkaz:
https://doaj.org/article/2c94ff4b1b6c4d6b8c5fdaf2194b7151
Autor:
Tong, Qiang, Wang, Jinrui, Yang, Wenshuang, Wu, Songtao, Zhang, Wenqi, Sun, Chen, Xu, Kuanhong
The utilization of AIoT technology has become a crucial trend in modern poultry management, offering the potential to optimize farming operations and reduce human workloads. This paper presents a real-time and compact edge-AI enabled detector designe
Externí odkaz:
http://arxiv.org/abs/2407.09562
Recognizing interactive actions, including hand-to-hand interaction and human-to-human interaction, has attracted increasing attention for various applications in the field of video analysis and human-robot interaction. Considering the success of gra
Externí odkaz:
http://arxiv.org/abs/2402.02431
Publikováno v:
Proceedings of the 31st ACM International Conference on Multimedia, October 2023, Pages 2856-2864
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using the recent Graph Convolutional
Externí odkaz:
http://arxiv.org/abs/2311.13781
Due to distribution shift, deep learning based methods for image dehazing suffer from performance degradation when applied to real-world hazy images. In this paper, we consider a dehazing framework based on conditional diffusion models for improved g
Externí odkaz:
http://arxiv.org/abs/2308.10510
User selection has become crucial for decreasing the communication costs of federated learning (FL) over wireless networks. However, centralized user selection causes additional system complexity. This study proposes a network intrinsic approach of d
Externí odkaz:
http://arxiv.org/abs/2307.03758
Autor:
Xu, Chengjie1, Wu, Songtao2, Liu, Pengju2, Huang, Yao2, Chen, Yuchao2, Ding, Guoping1,3 dinguoping@zju.edu.cn, Jia, Shengnan1,3 jiashengnan1021@zju.edu.cn, Darwish, Khaled Mohamed, Manivannan, Prasath
Publikováno v:
Frontiers in Chemistry. 2024, p1-13. 13p.
Autor:
Wang, Chanfei1 (AUTHOR) wcf_bella@163.com, Wu, Songtao1,2,3 (AUTHOR) 13948825131@163.com, Shen, Yue4 (AUTHOR) shenyue72919@163.com, Li, Xiang1 (AUTHOR)
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 16, p3926. 16p.
Publikováno v:
In Applied Geography September 2024 170