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
Self-Learning Bayesian Generative Models for Jammer Detecti..:
, In:
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
,
Krayani, Ali
;
Baydoun, Mohamad
;
Marcenaro, Lucio
.. - p. 1-7 , 2020
Link:
https://doi.org/10.1109/GLOBECOM42002.2020.9322583
RT T1
GLOBECOM 2020 - 2020 IEEE Global Communications Conference
: T1
Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios
UL https://suche.suub.uni-bremen.de/peid=ieee-9322583&Exemplar=1&LAN=DE A1 Krayani, Ali A1 Baydoun, Mohamad A1 Marcenaro, Lucio A1 Alam, Atm S. A1 Regazzoni, Carlo YR 2020 SN 2576-6813 K1 Jamming K1 Bayes methods K1 Unmanned aerial vehicles K1 Predictive models K1 Vehicle dynamics K1 OFDM K1 Feature extraction K1 Unmanned Aerial Vehicles K1 Cognitive Radio K1 PHY-security K1 Self-Awareness K1 Bayesian Filtering SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/GLOBECOM42002.2020.9322583 DO https://doi.org/10.1109/GLOBECOM42002.2020.9322583 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)