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
Mixed‐decomposed convolutional network: A lightweight yet e..:
Zhang, Xiaoqing
;
Wu, Xiao
;
Xiao, Zunjie
...
CAAI Transactions on Intelligence Technology. 9 (2023) 2 - p. 319-332 , 2023
Link:
https://doi.org/10.1049/cit2.12246
RT Journal T1 <Title>Mixed‐decomposed convolutional network: A lightweight yet efficient convolutional neural network for ocular disease recognition</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1049_cit2.12246&Exemplar=1&LAN=DE A1 Zhang, Xiaoqing A1 Wu, Xiao A1 Xiao, Zunjie A1 Hu, Lingxi A1 Qiu, Zhongxi A1 Sun, Qingyang A1 Higashita, Risa A1 Liu, Jiang PB Institution of Engineering and Technology (IET) YR 2023 SN 2468-2322 SN 2468-2322 JF CAAI Transactions on Intelligence Technology VO 9 IS 2 SP 319 OP 332 LK http://dx.doi.org/https://doi.org/10.1049/cit2.12246 DO https://doi.org/10.1049/cit2.12246 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
