Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Haodong Zou"'
Autor:
Weiwei Lv, Shichen Hu, Fei Yang, Dong Lin, Haodong Zou, Wanyan Zhang, Qin Yang, Lihua Li, Xiaowen Chen, Yan Wu
Publikováno v:
PeerJ, Vol 12, p e18237 (2024)
Periodontitis is one of the most prevalent inflammatory disease worldwide, which affects 11% of the global population and is a major cause of tooth loss. Recently, oxidative stress (OS) has been found to be the pivital pathophysiological mechanism of
Externí odkaz:
https://doaj.org/article/27511ff84afe4d58908d28fa274aa07b
Publikováno v:
Aerospace, Vol 10, Iss 11, p 943 (2023)
A passive localization algorithm based on UAV aerial images and Angle of Arrival (AOA) is proposed to solve the target passive localization problem. In this paper, the images are captured using fixed-focus shooting. A target localization factor is de
Externí odkaz:
https://doaj.org/article/5daaa0c12c8948f28263b16a820ef378
Publikováno v:
Drones, Vol 7, Iss 11, p 648 (2023)
One of the most essential approaches to expanding the capabilities of autonomous systems is through collaborative operation. A separated lift and thrust vertical takeoff and landing mother unmanned aerial vehicle (UAV) and a quadrotor child UAV are u
Externí odkaz:
https://doaj.org/article/3473f1e48f3c4a259ede6122b72586f2
Autor:
Tianxiang Zheng, Shuo Chen, Linxu Lei, Zhanfeng Deng, Cheng Zhang, Xing Yang, Haodong Zou, Menghan Xu
Publikováno v:
Micromachines, Vol 8, Iss 7, p 220 (2017)
A piezoelectric bimorph beam, as an upgraded cantilever beam structure, can be used to detect gas content and build a micro-actuator, among other functions. Thus, this beam is widely applied to microelectromechanical systems (MEMS), transformers, and
Externí odkaz:
https://doaj.org/article/1ae5055d97b14d27b068f7b4f34e1094
Publikováno v:
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA).
Publikováno v:
2022 IEEE International Power Electronics and Application Conference and Exposition (PEAC).
Publikováno v:
2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA).
Publikováno v:
Information Sciences. 562:385-397
Graph Neural Networks(GNNs) has dominated the semi-supervised node classification task by its neighborhood aggregation mechanism over traditional network embedding methods. However, GNNs still encounters with two vital problems when scales to large n
Publikováno v:
Journal of Interconnection Networks. 22
In order to be able to achieve state maintenance, keep historical data of the operation of each system, improve the precision of computer room management, improve work efficiency, reduce the work intensity of computer room managers, and reduce manual
Publikováno v:
International Journal of Approximate Reasoning. 114:115-126
Community detection is a hot research in complex network analysis. Detecting community structure in networks is crucial for insight into the internal connections within networks. A variety of algorithms have previously been proposed, while few of the