I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
CSER: Enhancing Cybersecurity Entity Recognition Through Mu..:
, In:
2023 IEEE International Conference on Big Data (BigData)
,
Marjan, Md Abu
;
Amagasa, Toshiyuki
- p. 1214-1221 , 2023
Link:
https://doi.org/10.1109/BigData59044.2023.10386941
RT T1
2023 IEEE International Conference on Big Data (BigData)
: T1
CSER: Enhancing Cybersecurity Entity Recognition Through Multidimensional Feature Fusion
UL https://suche.suub.uni-bremen.de/peid=ieee-10386941&Exemplar=1&LAN=DE A1 Marjan, Md Abu A1 Amagasa, Toshiyuki YR 2023 K1 Measurement K1 Recurrent neural networks K1 Semantics K1 Symbols K1 Linguistics K1 Feature extraction K1 Reliability K1 Cybersecurity K1 Name Entity Recognition K1 Feature Extraction K1 Deep Learning SP 1214 OP 1221 LK http://dx.doi.org/https://doi.org/10.1109/BigData59044.2023.10386941 DO https://doi.org/10.1109/BigData59044.2023.10386941 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)