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
Research on Ornamental Fish Recognition Base on Improved Sh..:
, In:
2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)
,
Zhang, Xingyun
;
Chen, Hongming
;
Zhang, Longqing
. - p. 273-278 , 2023
Link:
https://doi.org/10.1109/ICBASE59196.2023.10303199
RT T1 <cTitle>2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE)</cTitle>: T1 <Title>Research on Ornamental Fish Recognition Base on Improved Shufflenet V2 Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10303199&Exemplar=1&LAN=DE A1 Zhang, Xingyun A1 Chen, Hongming A1 Zhang, Longqing A1 Chen, Qian YR 2023 K1 Deep learning K1 Computer vision K1 Image recognition K1 Computational modeling K1 Transfer learning K1 Fish K1 Convolutional neural networks K1 component K1 ShuffleNet V2 K1 Fish recognition K1 AM-Softmax activation function SP 273 OP 278 LK http://dx.doi.org/https://doi.org/10.1109/ICBASE59196.2023.10303199 DO https://doi.org/10.1109/ICBASE59196.2023.10303199 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
