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
Local Rose Breeds Detection System Using Transfer Learning ..:
, In:
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
,
Farha, Amena Begum
;
Azizul Hakim, Md.
;
Khatun, Mst. Eshita
- p. 1-6 , 2022
Link:
https://doi.org/10.1109/ICCCNT54827.2022.9984329
RT T1
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
: T1
Local Rose Breeds Detection System Using Transfer Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=ieee-9984329&Exemplar=1&LAN=DE A1 Farha, Amena Begum A1 Azizul Hakim, Md. A1 Khatun, Mst. Eshita YR 2022 K1 Training K1 Technological innovation K1 Image processing K1 Computational modeling K1 Transfer learning K1 Business K1 Testing K1 Breed detection K1 Rose Breed K1 Augmentation K1 Transfer Learning Models K1 Inception V3 K1 ResNet50 K1 Xception K1 VGG16 SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCCNT54827.2022.9984329 DO https://doi.org/10.1109/ICCCNT54827.2022.9984329 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)