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
Fast Deep-Learning-Based Recognition of Multiple Power Qual..:
, In:
2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)
,
Saber, Ahmad M.
;
Selim, Alaa
;
Kadkikar, Vinod
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/CPERE56564.2023.10119643
RT T1
2023 IEEE Conference on Power Electronics and Renewable Energy (CPERE)
: T1
Fast Deep-Learning-Based Recognition of Multiple Power Quality Events Under Noise and DC Offset
UL https://suche.suub.uni-bremen.de/peid=ieee-10119643&Exemplar=1&LAN=DE A1 Saber, Ahmad M. A1 Selim, Alaa A1 Kadkikar, Vinod A1 Zeineldin, Hatem A1 El-Saadany, Ehab YR 2023 K1 Measurement errors K1 Renewable energy sources K1 Visualization K1 Power quality K1 Clustering algorithms K1 Stochastic processes K1 Real-time systems K1 Classification K1 Deep Learning Applications K1 Machine Learning Applications K1 Measurement Error K1 Power Quality SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CPERE56564.2023.10119643 DO https://doi.org/10.1109/CPERE56564.2023.10119643 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)