Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Quanwang Wu"'
Publikováno v:
IEEE Access, Vol 7, Pp 110279-110292 (2019)
In order to achieve universal and personalized cloud service choices in a social network environment, we propose a cloud service selection method based on trust and user preference clustering. The method performs a comprehensive trust evaluation, whi
Externí odkaz:
https://doaj.org/article/d0e31f48cac54b71b6ae644ef2b759dd
Autor:
Wanbo Zheng, Yuandou Wang, Yunni Xia, Quanwang Wu, Lei Wu, Kunyin Guo, Weiling Li, Xin Luo, Qingsheng Zhu
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
The cloud computing paradigm enables elastic resources to be scaled at run time satisfy customers’ demand. Cloud computing provisions on-demand service to users based on a pay-as-you-go manner. This novel paradigm enables cloud users or tenant user
Externí odkaz:
https://doaj.org/article/31d11cec71ab4d718ccea8aac22ae009
Publikováno v:
Information Sciences. 622:269-281
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17857ca9beb4285f42e6b6044f6dc762
https://doi.org/10.1016/j.ins.2022.11.153
https://doi.org/10.1016/j.ins.2022.11.153
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-17
With the wide application of information technologies such as big data, the Internet of Things, and cloud computing, college students have accumulated a large amount of personal information and daily behavior data in their daily studies and life. How
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac109ca9ece463aad07317f7a48ab0a1
https://doi.org/10.1155/2022/1902155
https://doi.org/10.1155/2022/1902155
Publikováno v:
Future Generation Computer Systems. 131:269-278
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3437aede1b7cce28e1d6c7972ef39c9
https://doi.org/10.1016/j.future.2022.01.018
https://doi.org/10.1016/j.future.2022.01.018
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 19:1137-1150
Cloud platforms have recently become a popular target execution environment for numerous workflow applications. Hence, effective workflow scheduling strategies in cloud environments are in high demand. However, existing scheduling algorithms are grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d78e650c133a16c8855ab8dec1b30442
https://doi.org/10.1109/tase.2020.3046673
https://doi.org/10.1109/tase.2020.3046673
SIVLC: improving the performance of co-training by sufficient-irrelevant views and label consistency
Autor:
Yanlu Gong, Quanwang Wu
Publikováno v:
Applied Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb753219597513f0fd18b56a8fb81224
https://doi.org/10.1007/s10489-023-04611-7
https://doi.org/10.1007/s10489-023-04611-7
Publikováno v:
International Journal of Machine Learning and Cybernetics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a587af208a2d2c3e921504f14ae4887e
https://doi.org/10.1007/s13042-023-01805-w
https://doi.org/10.1007/s13042-023-01805-w
Publikováno v:
IEEE Transactions on Cybernetics. :1-12
Feature selection (FS) is an essential technique widely applied in data mining. Recent studies have shown that evolutionary computing (EC) is very promising for FS due to its powerful search capability. However, most existing EC-based FS methods use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::422174a3c2a954ee4b1412ecc6f0c332
https://doi.org/10.1109/tcyb.2022.3163577
https://doi.org/10.1109/tcyb.2022.3163577
Publikováno v:
Computer Supported Cooperative Work and Social Computing ISBN: 9789819923557
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35d2f4dc45495279367e349e11823b8
https://doi.org/10.1007/978-981-99-2356-4_2
https://doi.org/10.1007/978-981-99-2356-4_2
