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
Deep Neural Network-Based Approach to Identify the Paddy Le..:
, In:
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
,
Islam, Md. Ashiqul
;
Rahman, Md. Mizanur
;
Shohan, Abdul Alim
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/EASCT59475.2023.10393586
RT T1
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
: T1
Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2
UL https://suche.suub.uni-bremen.de/peid=ieee-10393586&Exemplar=1&LAN=DE A1 Islam, Md. Ashiqul A1 Rahman, Md. Mizanur A1 Shohan, Abdul Alim A1 Pulok, Rishad Amin A1 Akter, Sanzida A1 Ahmed, Md. Tanvir YR 2023 K1 Deep learning K1 Economics K1 Sociology K1 Crops K1 Production K1 Manuals K1 Evolutionary computation K1 Deep Neural Network K1 DenseNet-201 K1 ResNet50-V2 K1 MobileNet-V2 SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/EASCT59475.2023.10393586 DO https://doi.org/10.1109/EASCT59475.2023.10393586 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)