Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Linghang Ding"'
Publikováno v:
Engineering Reports, Vol 6, Iss 1, Pp n/a-n/a (2024)
Abstract With the popularity and wide adoption of SOA (service‐oriented architecture), a massive amount of Web services emerge on the Internet. It is difficult for users to find the desired services from a large number of services. Thus, service re
Externí odkaz:
https://doaj.org/article/2f347917566b41a08f0042c8847a9cf7
Publikováno v:
Tongxin xuebao, Vol 43, Pp 215-226 (2022)
In order to solve the problem of insufficient accuracy of Web service QoS prediction, a joint QoS prediction method for Web services based on the deep fusion of features was proposed with considering of the hidden environmental preference information
Externí odkaz:
https://doaj.org/article/a035da82e0dc4fe8a93aa9ebd56ad176
Publikováno v:
IEEE Transactions on Network Science and Engineering. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c4d1bf34a493a4c221e97e24ec420e
https://doi.org/10.1109/tnse.2023.3277695
https://doi.org/10.1109/tnse.2023.3277695
Publikováno v:
IEEE Transactions on Network and Service Management. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4ad89d522bc6db5c7cddad3be5b926
https://doi.org/10.1109/tnsm.2023.3255253
https://doi.org/10.1109/tnsm.2023.3255253
Publikováno v:
ICWS
Learning network representations of Web services plays a critical role in the service ecosystem and facilitates many downstream tasks, e.g., service composition, service recommendation, service clustering, and service classification, etc. However, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93310580deeba754d0342bc7d4afb6ff
https://doi.org/10.1109/icws53863.2021.00029
https://doi.org/10.1109/icws53863.2021.00029
Autor:
Yong Xiao, Yingcheng Cao, Xiangping Zhang, Buqing Cao, Guosheng Kang, Jianxun Liu, Linghang Ding
Publikováno v:
Concurrency and Computation: Practice and Experience. 33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2de0cf3aa3069c4f18f39be70ab1345d
https://doi.org/10.1002/cpe.6287
https://doi.org/10.1002/cpe.6287