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
An Improved CNN Approach for Electricity Theft Detection:
, In:
2023 China Automation Congress (CAC)
,
Dang, Qian
;
Wang, Jing
;
Du, Chunhui
... - p. 5968-5973 , 2023
Link:
https://doi.org/10.1109/CAC59555.2023.10450658
RT T1
2023 China Automation Congress (CAC)
: T1
An Improved CNN Approach for Electricity Theft Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10450658&Exemplar=1&LAN=DE A1 Dang, Qian A1 Wang, Jing A1 Du, Chunhui A1 Liu, Xinrui A1 Wang, Mingliang A1 Gui, Xiaolin YR 2023 SN 2688-0938 K1 Automation K1 Electricity K1 Feature extraction K1 Convolutional neural networks K1 Data mining K1 Task analysis K1 Context modeling K1 electricity theft detection K1 smart grid K1 convolutional neural networks K1 power consumption SP 5968 OP 5973 LK http://dx.doi.org/https://doi.org/10.1109/CAC59555.2023.10450658 DO https://doi.org/10.1109/CAC59555.2023.10450658 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)