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
Weak Signal Detection Method Based on Bayesian Neural Netwo..:
, In:
2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
,
Zhao, Xiao
;
Wang, Lihui
;
Chen, Zhenjia
.. - p. 816-822 , 2023
Link:
https://doi.org/10.1109/PRAI59366.2023.10331980
RT T1
2023 IEEE 6th International Conference on Pattern Recognition and Artificial Intelligence (PRAI)
: T1
Weak Signal Detection Method Based on Bayesian Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10331980&Exemplar=1&LAN=DE A1 Zhao, Xiao A1 Wang, Lihui A1 Chen, Zhenjia A1 Shao, Po A1 Chen, Ran YR 2023 K1 Training K1 Wireless communication K1 Machine learning algorithms K1 Neural networks K1 Signal processing algorithms K1 Modulation K1 Feature extraction K1 Weak signal detection K1 Machine learning K1 Signal detection SP 816 OP 822 LK http://dx.doi.org/https://doi.org/10.1109/PRAI59366.2023.10331980 DO https://doi.org/10.1109/PRAI59366.2023.10331980 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)