Zobrazeno 1 - 10
of 24
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).
Publikováno v:
2022 IEEE 8th International Conference on Computer and Communications (ICCC).
Publikováno v:
Proceedings of the 8th International Conference on Communication and Information Processing.
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