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
Application of Machine Learning for Disease Detection Tasks..:
Ioannis Navrozidis
;
Xanthoula Eirini Pantazi
;
Anastasia Lagopodi
..
https://www.mdpi.com/2072-4292/15/24/5683. , 2023
Link:
https://doi.org/10.3390/rs15245683
RT Journal T1
Application of Machine Learning for Disease Detection Tasks in Olive Trees Using Hyperspectral Data
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f3ab95ad340d4555ae1edd436c9c8e41&Exemplar=1&LAN=DE A1 Ioannis Navrozidis A1 Xanthoula Eirini Pantazi A1 Anastasia Lagopodi A1 Dionysios Bochtis A1 Thomas K. Alexandridis PB MDPI AG YR 2023 K1 feature selection K1 hyperspectral K1 machine learning K1 random forest K1 stress detection K1 UAV K1 Science K1 Q JF https://www.mdpi.com/2072-4292/15/24/5683 LK http://dx.doi.org/https://doi.org/10.3390/rs15245683 DO https://doi.org/10.3390/rs15245683 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)