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
Comparative Analysis of YOLOv8 Models in Skipjack Fish Qual..:
, In:
2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
,
Aziz, Aldra Kasyfil
;
Dafa Maulana, Muhammad
;
Adawiyah, Rabby Fitriana
... - p. 237-242 , 2023
Link:
https://doi.org/10.1109/ICICyTA60173.2023.10428893
RT T1 <cTitle>2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)</cTitle>: T1 <Title>Comparative Analysis of YOLOv8 Models in Skipjack Fish Quality Assessment System</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10428893&Exemplar=1&LAN=DE A1 Aziz, Aldra Kasyfil A1 Dafa Maulana, Muhammad A1 Adawiyah, Rabby Fitriana A1 Fadhilah Firdaus, Rifqi A1 Novamizanti, Ledya A1 Ramdhon, Ferdi YR 2023 K1 Training K1 Measurement K1 Analytical models K1 Biological system modeling K1 Fish K1 Convolutional neural networks K1 Testing K1 deep learning K1 fish quality assessment K1 YOLOv8 SP 237 OP 242 LK http://dx.doi.org/https://doi.org/10.1109/ICICyTA60173.2023.10428893 DO https://doi.org/10.1109/ICICyTA60173.2023.10428893 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
