Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Xianqiao Chen"'
Autor:
Mi Wu, Xianqiao Chen
Publikováno v:
Measurement: Sensors, Vol 34, Iss , Pp 101246- (2024)
In order to explore the energy-saving control method of electronic communication, the author proposes the application of Internet of Things and embedded technology in electronic communication. The application makes full use of the “Internet of Thin
Externí odkaz:
https://doaj.org/article/cf6248b62525420e91f2b48a437838bc
Publikováno v:
IET Image Processing, Vol 13, Iss 7, Pp 1090-1096 (2019)
This study proposes a new, simple but effective technique to detect and restore colour cast images, named modified grey world method. This method detects colour cast images of outdoor surveillance videos by computing the values in the YUV colour spac
Externí odkaz:
https://doaj.org/article/9225e9853c8145518a620bf8b8f5a6ae
Publikováno v:
International Conference on Mechanisms and Robotics (ICMAR 2022).
Publikováno v:
Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics.
Publikováno v:
IET Image Processing. 13:1090-1096
This study proposes a new, simple but effective technique to detect and restore colour cast images, named modified grey world method. This method detects colour cast images of outdoor surveillance videos by computing the values in the YUV colour spac
Publikováno v:
IET Software. 13:86-95
This study presents a novel approach for assessing and prioritising relative weights of the factors in order to reveal the level of each factors' contribution to the usability index system in the context of library websites. The inputs of experts in
Autor:
Ramanayaka, Kokila Harshan1 kramanayaka@gmail.com, Xianqiao Chen2 chenxq@whut.edu.cn, Bing Shi2 7440472499@qq.om
Publikováno v:
Journal of University Librarians Association of Sri Lanka. 2018, Vol. 21 Issue 1, p1-17. 17p.
Publikováno v:
2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE).
Radar ship target detection plays an important role in ship navigation and collision avoidance. The ship target detection for synthetic aperture radar has been relatively mature, while pulse compression radar has relatively poor imaging effect and mo
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 35:4433-4443
Publikováno v:
ICVIP
In order to reduce the incidence of traffic accidents caused by dangerous driving, a dangerous driving behavior recognition model based on convolutional neural network (CNN) and long short-term memory network (LSTM) is proposed. Aiming at the problem