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
A Feature-Aware Semi-Supervised Learning Approach for Autom..:
, In:
2023 IEEE International Conference on Cyber Security and Resilience (CSR)
,
Shibly, Kabid Hassan
;
Hossain, Md Delwar
;
Inoue, Hiroyuki
.. - p. 426-431 , 2023
Link:
https://doi.org/10.1109/CSR57506.2023.10224976
RT T1
2023 IEEE International Conference on Cyber Security and Resilience (CSR)
: T1
A Feature-Aware Semi-Supervised Learning Approach for Automotive Ethernet
UL https://suche.suub.uni-bremen.de/peid=ieee-10224976&Exemplar=1&LAN=DE A1 Shibly, Kabid Hassan A1 Hossain, Md Delwar A1 Inoue, Hiroyuki A1 Taenaka, Yuzo A1 Kadobayashi, Youki YR 2023 K1 Ethernet K1 Switches K1 Telecommunication traffic K1 Semisupervised learning K1 Heterogeneous networks K1 Safety K1 Synchronization K1 Automotive Ethernet K1 In-Vehicle Networks K1 Cybersecurity K1 Intrusion Detection Systems K1 Semi-Supervised Learning K1 Feature-Aware Learning SP 426 OP 431 LK http://dx.doi.org/https://doi.org/10.1109/CSR57506.2023.10224976 DO https://doi.org/10.1109/CSR57506.2023.10224976 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)