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
Deep Learning Test Platform for Maritime Applications: Deve..:
Kalliovaara, Juha
;
Jokela, Tero
;
Asadi, Mehdi
...
Remote Sensing. 16 (2024) 9 - p. 1545 , 2024
Link:
https://doi.org/10.3390/rs16091545
RT Journal T1
Deep Learning Test Platform for Maritime Applications: Development of the eM/S Salama Unmanned Surface Vessel and Its Remote Operations Center for Sensor Data Collection and Algorithm Development
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_rs16091545&Exemplar=1&LAN=DE A1 Kalliovaara, Juha A1 Jokela, Tero A1 Asadi, Mehdi A1 Majd, Amin A1 Hallio, Juhani A1 Auranen, Jani A1 Seppänen, Mika A1 Putkonen, Ari A1 Koskinen, Juho A1 Tuomola, Tommi A1 Mohammadi Moghaddam, Reza A1 Paavola, Jarkko PB MDPI AG YR 2024 SN 2072-4292 JF Remote Sensing VO 16 IS 9 SP 1545 LK http://dx.doi.org/https://doi.org/10.3390/rs16091545 DO https://doi.org/10.3390/rs16091545 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)