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
Low-latency Convolutional Neural Network for Classification..:
, In:
2022 19th European Radar Conference (EuRAD)
,
Ahmad, Bashar I.
;
Grey, Jonathan
;
Newman, Mike
. - p. 1-4 , 2022
Link:
https://doi.org/10.23919/EuRAD54643.2022.9924966
RT T1
2022 19th European Radar Conference (EuRAD)
: T1
Low-latency Convolutional Neural Network for Classification of Previously Unseen Drone Types
UL https://suche.suub.uni-bremen.de/peid=ieee-9924966&Exemplar=1&LAN=DE A1 Ahmad, Bashar I. A1 Grey, Jonathan A1 Newman, Mike A1 Harman, Stephen YR 2022 K1 Target tracking K1 Target recognition K1 Radar measurements K1 Airborne radar K1 Radar tracking K1 Sensors K1 Convolutional neural networks K1 Convolutional neural network K1 drone surveillance K1 radar K1 automatic target recognition SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.23919/EuRAD54643.2022.9924966 DO https://doi.org/10.23919/EuRAD54643.2022.9924966 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)