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 Machine Learning based Knowledge Graph Framework for Hete..:
, In:
2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)
,
Zhang, Shujuan
;
Zheng, GuoQiang
;
Liu, Li
... - p. 119-123 , 2021
Link:
https://doi.org/10.1109/ICCECE51280.2021.9342047
RT T1 <cTitle>2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE)</cTitle>: T1 <Title>A Machine Learning based Knowledge Graph Framework for Heterogeneous Power Grid Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9342047&Exemplar=1&LAN=DE A1 Zhang, Shujuan A1 Zheng, GuoQiang A1 Liu, Li A1 Li, Longyue A1 Li, JinZhong A1 Wang, Xin YR 2021 K1 Knowledge engineering K1 Databases K1 Transfer learning K1 Data structures K1 Power grids K1 Knowledge management K1 Consumer electronics K1 knowledge graph K1 machine learning K1 power grid networks K1 heterogeneous data SP 119 OP 123 LK http://dx.doi.org/https://doi.org/10.1109/ICCECE51280.2021.9342047 DO https://doi.org/10.1109/ICCECE51280.2021.9342047 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
