Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Shiting Wen"'
Publikováno v:
IEEE Access, Vol 7, Pp 32472-32481 (2019)
In the cloud service community, cloud service providers typically limit component cloud services to perform a specific and limited function to maximize the versatility of cloud services. However, the business needs of consumers are often very complex
Externí odkaz:
https://doaj.org/article/c7e997abd8bf469797f1e7d0bfeb3bdb
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. :1-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb8b178f0fe25e84c0bffe12e103424
https://doi.org/10.1080/0952813x.2022.2153281
https://doi.org/10.1080/0952813x.2022.2153281
Publikováno v:
Data Science and Engineering. 7:213-224
As a fundamental part of indoor scene understanding, the research of indoor room layout estimation has attracted much attention recently. The task is to predict the structure of a room from a single image. In this paper, we illustrate that this task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2c326ffc28207ca2f433f990e240559
https://doi.org/10.1007/s41019-022-00192-6
https://doi.org/10.1007/s41019-022-00192-6
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2016, Vol. 26, Issue 3/4, pp. 1226-1239.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-09-2015-0397
Publikováno v:
Knowledge and Information Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a0f955b160c1e7b922c5b4b44e1e49e
https://doi.org/10.1007/s10115-023-01868-9
https://doi.org/10.1007/s10115-023-01868-9
Publikováno v:
Catalysts; Volume 13; Issue 1; Pages: 117
It is still an intractable problem to exploit high-efficient Co-based catalysts for low-temperature HCHO oxidation. Herein, we synthesized a series of Cu-doped Co3O4 catalysts (Cu1Co8, Cu1Co4, and Cu1Co2 corresponded to 1/8, 1/4, and 1/2 of Cu/Co mol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a00f25e3074e606d9746a7c5c557ea3
Publikováno v:
2022 6th International Conference on Education and Multimedia Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09b46a00d5b98ac512043a880040e839
https://doi.org/10.1145/3551708.3556207
https://doi.org/10.1145/3551708.3556207
Publikováno v:
Information Sciences. 512:813-829
With the development of geo-positioning technologies, the volumes of spatio-textual data are growing rapidly. These data are available in many applications such as location-based services and geo-social networks, and thus, various types of geo-social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a3c8eb537dc6b4eca09907fe86f78d
https://doi.org/10.1016/j.ins.2019.10.021
https://doi.org/10.1016/j.ins.2019.10.021
Publikováno v:
World Wide Web. 23:631-648
With the rapid development of mobile Internet and smartphones, crowdsourcing marketplaces has extended to spatial crowdsourcing (SC), where crowd workers perform spatial tasks (i.e., tasks related to a location) in the physical world using their mobi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec9ddcd779646a4bea7c4ac722f2b2aa
https://doi.org/10.1007/s11280-019-00708-7
https://doi.org/10.1007/s11280-019-00708-7
Publikováno v:
Applied Intelligence. 50:169-191
For mutual benefit, data is shared among business organizations. However, this may result in privacy and security threats. To address this issue, privacy-preserving data mining is presented to sanitize the original database to hide all sensitive know
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8d5ec1cc8930f1797aebf6619041a30
https://doi.org/10.1007/s10489-019-01524-2
https://doi.org/10.1007/s10489-019-01524-2