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
A Hybrid Deep Learning Neural Network Model and Data-Driven..:
, In:
2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
,
Merlin, S. Sudha
;
Yugha, R.
;
L, Hubert Mary.
.. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICSES60034.2023.10465331
RT T1 <cTitle>2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)</cTitle>: T1 <Title>A Hybrid Deep Learning Neural Network Model and Data-Driven Methods for Smart Grid Theft Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10465331&Exemplar=1&LAN=DE A1 Merlin, S. Sudha A1 Yugha, R. A1 L, Hubert Mary. A1 P, Varalakshmi. A1 Mavaluru, Dinesh YR 2023 K1 Deep learning K1 Computers K1 Statistical analysis K1 Computational modeling K1 Electricity K1 Neural networks K1 Logic gates K1 Smart Grid Theft Detection K1 Convolutional Neural Network K1 Gated Recurrent Unit K1 Hybrid Deep Learning Model SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICSES60034.2023.10465331 DO https://doi.org/10.1109/ICSES60034.2023.10465331 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
