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 Data Mesh Approach for Enabling Data-Centric Applications..:
, In:
2023 International Conference on Military Communications and Information Systems (ICMCIS)
,
Dahdal, Simon
;
Poltronieri, Filippo
;
Tortonesi, Mauro
.. - p. 1-9 , 2023
Link:
https://doi.org/10.1109/ICMCIS59922.2023.10253568
RT T1 <cTitle>2023 International Conference on Military Communications and Information Systems (ICMCIS)</cTitle>: T1 <Title>A Data Mesh Approach for Enabling Data-Centric Applications at the Tactical Edge</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10253568&Exemplar=1&LAN=DE A1 Dahdal, Simon A1 Poltronieri, Filippo A1 Tortonesi, Mauro A1 Stefanelli, Cesare A1 Suri, Niranjan YR 2023 K1 Military communication K1 Mission critical systems K1 Government K1 Distributed databases K1 Big Data K1 Reliability engineering K1 Real-time systems K1 Tactical Networks K1 Federation K1 Internet of Battlefield Things (IoBT) K1 Machine Learning SP 1 OP 9 LK http://dx.doi.org/https://doi.org/10.1109/ICMCIS59922.2023.10253568 DO https://doi.org/10.1109/ICMCIS59922.2023.10253568 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
