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
The Deep Learning-based Intelligent System for Extracting I..:
, In:
2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT)
,
Fuadi, Zaki
;
Muchtar, Kahlil
;
Subianto, Muhammad
... - p. 330-335 , 2024
Link:
https://doi.org/10.1109/ICoSEIT60086.2024.10497510
RT T1 <cTitle>2024 2nd International Conference on Software Engineering and Information Technology (ICoSEIT)</cTitle>: T1 <Title>The Deep Learning-based Intelligent System for Extracting Information from e-KTP</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10497510&Exemplar=1&LAN=DE A1 Fuadi, Zaki A1 Muchtar, Kahlil A1 Subianto, Muhammad A1 Riza, Hammam A1 Oktiana, Maulisa A1 Nizamuddin YR 2024 K1 Deep learning K1 Training K1 Image segmentation K1 Image recognition K1 Text recognition K1 Text detection K1 Training data K1 e-KTP K1 U-Net K1 CRAFT K1 TRBA SP 330 OP 335 LK http://dx.doi.org/https://doi.org/10.1109/ICoSEIT60086.2024.10497510 DO https://doi.org/10.1109/ICoSEIT60086.2024.10497510 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
