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
Rosette Plant Centre Detection and Tracking Using YOLO: An ..:
, In:
2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)
,
Akagic, Amila
;
Saric, Rijad
;
Buza, Emir
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICMI60790.2024.10586117
RT T1 <cTitle>2024 IEEE 3rd International Conference on Computing and Machine Intelligence (ICMI)</cTitle>: T1 <Title>Rosette Plant Centre Detection and Tracking Using YOLO: An Efficient Deep Learning Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10586117&Exemplar=1&LAN=DE A1 Akagic, Amila A1 Saric, Rijad A1 Buza, Emir A1 Kecman, Stefani A1 Lewsey, Mathew G. A1 Custovic, Edhem A1 Whelan, James YR 2024 K1 YOLO K1 Measurement K1 Visualization K1 Neural networks K1 Streaming media K1 Real-time systems K1 Robots K1 Plant Phenotyping K1 Arabidopsis thaliana K1 Computer Vision K1 Image Processing K1 Deep Learning K1 Neural Networks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICMI60790.2024.10586117 DO https://doi.org/10.1109/ICMI60790.2024.10586117 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
