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
A Comprehensive Analysis of Multi-Modal Deep Transfer Learn..:
, In:
2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)
,
Shakib, Md. Shadman
;
Kamaruzzaman
;
Jaman, Azam
. - p. 1240-1245 , 2024
Link:
https://doi.org/10.1109/ICEEICT62016.2024.10534555
RT T1 <cTitle>2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT)</cTitle>: T1 <Title>A Comprehensive Analysis of Multi-Modal Deep Transfer Learning for Rice Leaf Disease Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10534555&Exemplar=1&LAN=DE A1 Shakib, Md. Shadman A1 Kamaruzzaman A1 Jaman, Azam A1 Islam, Md. Nahid YR 2024 SN 2769-5700 K1 Training K1 Measurement K1 Analytical models K1 Biological system modeling K1 Transfer learning K1 Crops K1 Transformers K1 Transfer learning method K1 Rice leaf disease K1 Vision Transformer (ViT) K1 Image classification K1 ROC SP 1240 OP 1245 LK http://dx.doi.org/https://doi.org/10.1109/ICEEICT62016.2024.10534555 DO https://doi.org/10.1109/ICEEICT62016.2024.10534555 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
