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
Hierarchical Attention-based Fully Convolutional Network fo..:
, In:
2023 9th International Conference on Control, Automation and Robotics (ICCAR)
,
Jin, Dan
;
Li, Mingqiang
- p. 337-341 , 2023
Link:
https://doi.org/10.1109/ICCAR57134.2023.10151764
RT T1 <cTitle>2023 9th International Conference on Control, Automation and Robotics (ICCAR)</cTitle>: T1 <Title>Hierarchical Attention-based Fully Convolutional Network for Satellite Cloud Classification and Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10151764&Exemplar=1&LAN=DE A1 Jin, Dan A1 Li, Mingqiang YR 2023 SN 2251-2454 K1 Satellites K1 Automation K1 Convolution K1 Weather forecasting K1 Convolutional neural networks K1 Task analysis K1 Kernel K1 Hierarchical attention K1 Fully convolutional network K1 Satellite cloud SP 337 OP 341 LK http://dx.doi.org/https://doi.org/10.1109/ICCAR57134.2023.10151764 DO https://doi.org/10.1109/ICCAR57134.2023.10151764 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
