Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Siwen Wei"'
Publikováno v:
IEEE Access, Vol 7, Pp 160610-160622 (2019)
To satisfy the requirement of the future ocean communication and maritime transportation, in this paper, an integrated space-air-ground-sea communication control system based on mobile computing technology is proposed to rescue a water container. Spe
Externí odkaz:
https://doaj.org/article/634d006d71824902ae6560b523a8eef9
Autor:
Xiaoqian Huang, Naijuan Wang, Mingfu Yu, Siwen Wei, Dan Xu, Yamei Jin, Xueming Xu, Fengfeng Wu
Publikováno v:
International Journal of Food Science & Technology.
Nowadays, with the rapid expansion of social media as a means of quick communication, real-time disaster information is widely disseminated through these platforms. Determining which real-time and multi-modal disaster information can effectively supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b946f1ee3b4d85e2a9b5f3cb6b568cd
https://doi.org/10.21203/rs.3.rs-2592963/v1
https://doi.org/10.21203/rs.3.rs-2592963/v1
Publikováno v:
2022 16th ICME International Conference on Complex Medical Engineering (CME).
Publikováno v:
2022 21st International Symposium on Communications and Information Technologies (ISCIT).
Publikováno v:
2022 5th International Conference on Machine Learning and Machine Intelligence.
Publikováno v:
Optics letters. 47(15)
A metalens made of compact planar metastructure exhibits an excellent capability of focusing. The high-quality transmissive and reflective focusing simultaneously provides Fourier transform (FT) operation for optical information processing. Here we s
Autor:
Siwen Wei, Naijuan Wang, Xiaoqian Huang, Gaoxin Xu, Xueming Xu, Dan Xu, Yamei Jing, Na Yang, Fengfeng Wu
Publikováno v:
SSRN Electronic Journal.
Autor:
Siwen Wei, Naijuan Wang, Xiaoqian Huang, Gaoxin Xu, Xueming Xu, Dan Xu, Yamei Jin, Na Yang, Fengfeng Wu
Publikováno v:
Food Bioscience. 50:102165
Publikováno v:
SPML
In order to solve the problems of low detection accuracy, slow detection speed and low detection efficiency existing in traditional methods, an improved YOLOv4 algorithm for the surface defect detection of aircraft flared duct is proposed. Firstly, c