Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Guoquan Yuan"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-12 (2024)
Abstract Sensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the industrial internet, including its interconnectivity across various sectors like the electric powe
Externí odkaz:
https://doaj.org/article/c9e80cb6d6044954998855729b4c8bcf
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2791 (2024)
Traditional machine learning-based entity extraction methods rely heavily on feature engineering by experts, and the generalization ability of the model is poor. Prototype networks, on the other hand, can effectively use a small amount of labeled dat
Externí odkaz:
https://doaj.org/article/3375035fb2c84159b4165629335f811d
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1643 (2024)
This paper presents a feature fusion and sparse transformer-based anomalous traffic detection system (FSTDS). FSTDS utilizes a feature fusion network to encode the traffic data sequences and extracting features, fusing them into coding vectors throug
Externí odkaz:
https://doaj.org/article/8bbaf75560624002831d5ee3ee05f47a
Publikováno v:
IEEE Access, Vol 11, Pp 75859-75874 (2023)
The goal of privacy-preserving social graph publishing is to protect individual privacy while preserving graph utility. Node nearest neighbor structure is a crucial social graph utility as it is the basis for many graph analysis tasks. Most existing
Externí odkaz:
https://doaj.org/article/b2960ff9be324d0691cadcb62428f249
Publikováno v:
2022 IEEE 8th International Conference on Computer and Communications (ICCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f15e9655e5e81565ce33f6c2bc7c82f
https://doi.org/10.1109/iccc56324.2022.10066004
https://doi.org/10.1109/iccc56324.2022.10066004
Publikováno v:
2022 IEEE 8th International Conference on Computer and Communications (ICCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82292cbe4d9d602de125e1e201b4e46e
https://doi.org/10.1109/iccc56324.2022.10065890
https://doi.org/10.1109/iccc56324.2022.10065890
Publikováno v:
Proceedings of the 8th International Conference on Communication and Information Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ea82c506b7efb96da824de1106308c
https://doi.org/10.1145/3571662.3571678
https://doi.org/10.1145/3571662.3571678
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031067907
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::362642302c4e1ba20920df6e18554f76
https://doi.org/10.1007/978-3-031-06791-4_47
https://doi.org/10.1007/978-3-031-06791-4_47
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031067907
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc51c5de748037fad6416bd2ed82d913
https://doi.org/10.1007/978-3-031-06791-4_40
https://doi.org/10.1007/978-3-031-06791-4_40
Publikováno v:
2018 International Computers, Signals and Systems Conference (ICOMSSC).
This paper first introduces the performance dilemma faced by OLAP database, and then combines the operational characteristics of OLTP database, innovatively adopts loosely coupled distributed architecture, designs a high-performance database integrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6dbf48318499201a990e48f3713d34a
https://doi.org/10.1109/icomssc45026.2018.8941810
https://doi.org/10.1109/icomssc45026.2018.8941810