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 algorithm as a strategy for detection an inva..:
MARTÍNEZ-GONZÁLEZ, Ángel Trinidad
;
RAMÍREZ-RIVERA, Víctor Manuel
;
CABALLERO-VÁZQUEZ, J. Adán
.
0960-3166. , 2021
Link:
https://oskar-bordeaux.fr/handle/20.500.12278/172756
RT Journal T1
Deep learning algorithm as a strategy for detection an invasive species in uncontrolled environment
UL https://suche.suub.uni-bremen.de/peid=base-ftoskarbordeaux:oai:oskar-bordeaux.fr:20.500.12278_172756&Exemplar=1&LAN=DE A1 MARTÍNEZ-GONZÁLEZ, Ángel Trinidad A1 RAMÍREZ-RIVERA, Víctor Manuel A1 CABALLERO-VÁZQUEZ, J. Adán A1 GOMEZ, David YR 2021 K1 Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV] K1 Informatique [cs]/Traitement des images K1 Informatique [cs]/Intelligence artificielle [cs.AI] JF 0960-3166 LK http://dx.doi.org/https://oskar-bordeaux.fr/handle/20.500.12278/172756 DO https://oskar-bordeaux.fr/handle/20.500.12278/172756 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)