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
DopeNet: Range–Doppler Radar-based UAV Detection Using Conv..:
, In:
2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)
,
Aouto, Ali
;
Jun, Taesoo
;
Lee, Jae-Min
. - p. 889-893 , 2023
Link:
https://doi.org/10.1109/ICUFN57995.2023.10200675
RT T1 <cTitle>2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)</cTitle>: T1 <Title>DopeNet: Range–Doppler Radar-based UAV Detection Using Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10200675&Exemplar=1&LAN=DE A1 Aouto, Ali A1 Jun, Taesoo A1 Lee, Jae-Min A1 Kim, Dong-Seong YR 2023 SN 2165-8536 K1 Shape K1 Weapons K1 Surveillance K1 Simulation K1 Neural networks K1 Radar imaging K1 Autonomous aerial vehicles K1 Convolutional neural network K1 Image classification K1 Range-Doppler radar K1 UAV SP 889 OP 893 LK http://dx.doi.org/https://doi.org/10.1109/ICUFN57995.2023.10200675 DO https://doi.org/10.1109/ICUFN57995.2023.10200675 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
