Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Congming Shi"'
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-16 (2021)
Abstract Clustering, a traditional machine learning method, plays a significant role in data analysis. Most clustering algorithms depend on a predetermined exact number of clusters, whereas, in practice, clusters are usually unpredictable. Although t
Externí odkaz:
https://doaj.org/article/1186c0ec45514b1e9812c8bb15b720a6
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-11
With the evolution of the 5th generation mobile network (5G), the telecommunications industry has considerably affected livelihoods and resulted in the development of national economies worldwide. To increase revenue per customer and secure long-term
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96b980af12a562f6629821b72c21dbd9
https://doi.org/10.1155/2022/2100841
https://doi.org/10.1155/2022/2100841
Publikováno v:
2021 4th International Conference on Computer Science and Software Engineering (CSSE 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3627d58e0db7bf6051ea0caa1ef8b965
https://doi.org/10.1145/3494885.3494929
https://doi.org/10.1145/3494885.3494929
With the evolution of 5G technology, the telecom industry has influenced the livelihood of people and impacted the development of the national economy significantly. To increase revenue per customer and secure long-term contracts of users, telecommun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953181901225dccdd8207da71988239b
https://doi.org/10.21203/rs.3.rs-889572/v1
https://doi.org/10.21203/rs.3.rs-889572/v1
Autor:
Chen Wu, Chen Yang, Feng Wang, Shoulin Wei, Hui Deng, Andreas Wicenec, Congming Shi, Shao-Guang Guo, Ying Mei
Data archiving is one of the most critical issues for modern astronomical observations. With the development of a new generation of radio telescopes, the transfer and archiving of massive remote data have become urgent problems to be solved. Herein,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2b564a2f7ea3f8206233f8b5bdc0391
http://arxiv.org/abs/2106.12769
http://arxiv.org/abs/2106.12769
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2021, Iss 1, Pp 1-16 (2021)
Clustering, as a traditional machine learning method, is still playing a significant role in data analysis. The most of clustering algorithms depend on a predetermined exact number of clusters, whereas, in practice, clusters are usually unpredictable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf93fbfb7e6b3ecd8e53f85c2ba4ce6d
https://doi.org/10.21203/rs.3.rs-58011/v2
https://doi.org/10.21203/rs.3.rs-58011/v2
As a dedicated synthetic aperture radio interferometer in China, the MingantU SpEctral Radioheliograph (MUSER), initially known as the Chinese Spectral RadioHeliograph (CSRH), has entered the stage of routine observation. More than 23 million data re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bed5f3bf41af22417ea06630717db9b
http://arxiv.org/abs/1705.06067
http://arxiv.org/abs/1705.06067
Autor:
Jingping Wu, Congming Shi, Cuiyin Liu, Bo Liang, Ying Mei, Feng Wang, Shoulin Wei, Wei Dai, Yingbo Liu, Hui Deng
The volume of data generated by modern astronomical telescopes is extremely large and rapidly growing. However, current high-performance data processing architectures/frameworks are not well suited for astronomers because of their limitations and pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41f5f8e9032b896e86a78b786cdd4aa9
Publikováno v:
2015 8th International Conference on Intelligent Networks and Intelligent Systems (ICINIS).
With the rapid development of modern astronomical observational technology, the processing and analyzing of massive astronomical data bring us an unprecedented challenge. As an effective approach, Visualization Technology (VT) is becoming a hotspot f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82ecc996ee0be6b301b131b6f8dc07cd
https://doi.org/10.1109/icinis.2015.48
https://doi.org/10.1109/icinis.2015.48
Publikováno v:
Publications of the Astronomical Society of the Pacific; 8/1/2017, Vol. 129 Issue 978, p1-1, 1p