Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shuaihua Chen"'
Autor:
Shuaihua Chen, Hao Huang, Xuyang Yang, Han Wang, Mingtian Wei, Haixian Zhang, Ziqiang Wang, Zhang Yi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The detection and characterization of lymph nodes through interpreting abdominal medical images are significant for diagnosing and treating colorectal cancer recurrence. However, interpreting abdominal medical images manually is labor-intens
Externí odkaz:
https://doaj.org/article/3bbc6f0df29a452f8a9118690d9a6a8f
Publikováno v:
IEEE Access, Vol 7, Pp 44229-44238 (2019)
An accurate and rapid pig detection algorithm based on video image processing technology can be helpful to identify abnormal pigs and take timely measures to reduce the incidence of diseases. In order to solve the problems of low computational effici
Externí odkaz:
https://doaj.org/article/7a1556e38e1c4ea385925a339e888fb7
Autor:
Longqing Sun1 sunlq@cau.edu.cn, Shuaihua Chen1 cshanysys@163.com, Ting Liu1 lt_christine@qq.com, Chunhong Liu1 ophia_liu@cau.edu.cn, Yan Liu1 912034741@qq.com
Publikováno v:
International Journal of Agricultural & Biological Engineering. 2020, Vol. 13 Issue 3, p180-185. 6p.
Autor:
Shuaihua Chen
Publikováno v:
2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP).
Based on machine vision, this paper first gives the overall design of the industrial robot sorting system and the composition of the experimental platform of each subsystem; then constructs the neural network classifier to recognize the target mechan
Autor:
Shuaihua Chen
Publikováno v:
Journal of Physics: Conference Series. 2029:012132
With the vigorous development of education in China, the energy consumption of campus training equipment, as a microcosm of social energy consumption, has attracted more and more social attention. The traditional energy consumption meter reading meas
Autor:
Xiaoping Wang, Shuaihua Chen
Publikováno v:
Journal of Physics: Conference Series. 2029:012128
The Internet of things technology is applied to establish a low-lying ponding monitoring system, which includes information acquisition system and information management system. This GPRS, 4G, Java, Internet of things and large database technology ar