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
Combining Autoencoder and Yolov6 Model for Classification a..:
, In:
Proceedings of the 2023 8th International Conference on Intelligent Information Technology
,
Nguyen, Khang Hoang
;
Nguyen, Huynh Vu Nhu
;
Tran, Hoang Ngoc
. - p. 132-138 , 2023
Link:
https://dl.acm.org/doi/10.1145/3591569.3591591
RT T1
Proceedings of the 2023 8th International Conference on Intelligent Information Technology
: T1
Combining Autoencoder and Yolov6 Model for Classification and Disease Detection in Chickens
UL https://suche.suub.uni-bremen.de/peid=acm-3591591&Exemplar=1&LAN=DE A1 Nguyen, Khang Hoang A1 Nguyen, Huynh Vu Nhu A1 Tran, Hoang Ngoc A1 Quach, Luyl-Da PB ACM YR 2023 K1 Yolov6 K1 autoencoder K1 chickens disease K1 data enhancement SP 132 OP 138 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3591569.3591591 DO https://dl.acm.org/doi/10.1145/3591569.3591591 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)