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
Real-Time Driver Identification System in the Internet of V..:
, In:
2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
,
Jabbar, Saja Falah
;
Abdul-Rahaim, Laith Ali
;
Lilo, Moneer Ali
- p. 1-11 , 2024
Link:
https://doi.org/10.1109/HORA61326.2024.10550840
RT T1 <cTitle>2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)</cTitle>: T1 <Title>Real-Time Driver Identification System in the Internet of Vehicles: Seamless Integration of Deep Learning and Cloud Computing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10550840&Exemplar=1&LAN=DE A1 Jabbar, Saja Falah A1 Abdul-Rahaim, Laith Ali A1 Lilo, Moneer Ali YR 2024 K1 Training K1 Cloud computing K1 Sociology K1 Data visualization K1 Data collection K1 Real-time systems K1 Security K1 IoV K1 Driver identification K1 end-to-end system K1 hybrid deep learning K1 LSTM SP 1 OP 11 LK http://dx.doi.org/https://doi.org/10.1109/HORA61326.2024.10550840 DO https://doi.org/10.1109/HORA61326.2024.10550840 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
