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
Mandarin Orange Anomaly Detection with Cycle-GAN:
, In:
2024 IEEE/SICE International Symposium on System Integration (SII)
,
Noguchi, Kazuhiro
;
Takemura, Yasunori
;
Tominaga, Moeko
. - p. 644-649 , 2024
Link:
https://doi.org/10.1109/SII58957.2024.10417370
RT T1 <cTitle>2024 IEEE/SICE International Symposium on System Integration (SII)</cTitle>: T1 <Title>Mandarin Orange Anomaly Detection with Cycle-GAN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10417370&Exemplar=1&LAN=DE A1 Noguchi, Kazuhiro A1 Takemura, Yasunori A1 Tominaga, Moeko A1 Ishii, Kazuo YR 2024 SN 2474-2325 K1 Training data K1 System integration K1 Wounds K1 Information and communication technology K1 Internet of Things K1 Task analysis K1 Sorting K1 Smart Agriculture K1 Mandarin Orange K1 Anomaly Detection K1 Cycle-GAN SP 644 OP 649 LK http://dx.doi.org/https://doi.org/10.1109/SII58957.2024.10417370 DO https://doi.org/10.1109/SII58957.2024.10417370 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
