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
Digital recognition of electric meter with deep learning:
, In:
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
,
Shuo, Hong
;
Ximing, Yu
;
Donghang, Lv
.. - p. 600-607 , 2019
Link:
https://doi.org/10.1109/ICEMI46757.2019.9101443
RT T1
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
: T1
Digital recognition of electric meter with deep learning
UL https://suche.suub.uni-bremen.de/peid=ieee-9101443&Exemplar=1&LAN=DE A1 Shuo, Hong A1 Ximing, Yu A1 Donghang, Lv A1 Shaoli, Li A1 Yu, Peng YR 2019 K1 Meters K1 Feature extraction K1 Meter reading K1 Filtering K1 Machine learning K1 Image recognition K1 Electric meter reading K1 Image processing K1 Deep learning SP 600 OP 607 LK http://dx.doi.org/https://doi.org/10.1109/ICEMI46757.2019.9101443 DO https://doi.org/10.1109/ICEMI46757.2019.9101443 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)