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
DCAEAD: Denoising system for assisted driving images applyi..:
, In:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
,
Torres, Luis
;
Ardila, Andrea
;
Contreras, Ghiordy
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICA-ACCA56767.2022.10006275
RT T1 <cTitle>2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)</cTitle>: T1 <Title>DCAEAD: Denoising system for assisted driving images applying an autoencoder architecture</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10006275&Exemplar=1&LAN=DE A1 Torres, Luis A1 Ardila, Andrea A1 Contreras, Ghiordy A1 Castro, Sergio A1 Medina, Byron A1 Guevara, Dinael YR 2022 K1 Measurement K1 Deep learning K1 Image coding K1 Gaussian noise K1 Neural networks K1 Noise reduction K1 Process control K1 Computer vision K1 deep learning K1 noise correction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICA-ACCA56767.2022.10006275 DO https://doi.org/10.1109/ICA-ACCA56767.2022.10006275 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
