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
The Segmented Colour Feature Extreme Learning Machine: Appl..:
Sadgrove, Edmund J
;
School of Science and Technology
;
orcid:0000-0002-8710-9900
...
10.3390/agronomy11112290. , 2021
Link:
https://hdl.handle.net/1959.11/31933
RT Journal T1
The Segmented Colour Feature Extreme Learning Machine: Applications in Agricultural Robotics
UL https://suche.suub.uni-bremen.de/peid=base-ftunivnewengland:oai:rune.une.edu.au:1959.11_31933&Exemplar=1&LAN=DE A1 Sadgrove, Edmund J A1 School of Science and Technology A1 orcid:0000-0002-8710-9900 A1 Falzon, Greg A1 orcid:0000-0002-1989-9357 A1 Miron, David A1 Research Services A1 orcid:0000-0003-2157-5439 A1 Lamb, David W A1 orcid:0000-0002-2917-2231 PB MDPI AG YR 2021 JF 10.3390/agronomy11112290 LK http://dx.doi.org/https://hdl.handle.net/1959.11/31933 DO https://hdl.handle.net/1959.11/31933 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)