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
Development of a new hyperspectral imaging technology with ..:
Cui, Jiarui
;
Li, Kenken
;
Lv, Yu
...
Computers and Electronics in Agriculture. 220 (2024) - p. 108842 , 2024
Link:
https://doi.org/10.1016/j.compag.2024.108842
RT Journal T1 <Title>Development of a new hyperspectral imaging technology with autoencoder-assisted generative adversarial network for predicting the content of polyunsaturated fatty acids in red meat</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compag.2024.108842&Exemplar=1&LAN=DE A1 Cui, Jiarui A1 Li, Kenken A1 Lv, Yu A1 Liu, Sijia A1 Cai, Zhengyun A1 Luo, Ruiming A1 Zhang, Zhongxiong A1 Wang, Songlei PB Elsevier BV YR 2024 SN 0168-1699 JF Computers and Electronics in Agriculture VO 220 SP 108842 LK http://dx.doi.org/https://doi.org/10.1016/j.compag.2024.108842 DO https://doi.org/10.1016/j.compag.2024.108842 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
