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
Generating Synthetic Dataset for Cotton Leaf using DCGAN:
, In:
2023 4th International Conference on Signal Processing and Communication (ICSPC)
,
A, Lakkshmi Yogesh N
;
G, Bharathraj
;
S, Sanjay Prasanth A
.. - p. 249-252 , 2023
Link:
https://doi.org/10.1109/ICSPC57692.2023.10126067
RT T1 <cTitle>2023 4th International Conference on Signal Processing and Communication (ICSPC)</cTitle>: T1 <Title>Generating Synthetic Dataset for Cotton Leaf using DCGAN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10126067&Exemplar=1&LAN=DE A1 A, Lakkshmi Yogesh N A1 G, Bharathraj A1 S, Sanjay Prasanth A A1 S, Shreyas A1 B, Rajesh C YR 2023 K1 Deep learning K1 Machine learning algorithms K1 Convolution K1 Signal processing algorithms K1 Manuals K1 Generative adversarial networks K1 Cotton K1 DCGAN K1 Synthetic dataset K1 Data augmentation K1 Cotton leaf SP 249 OP 252 LK http://dx.doi.org/https://doi.org/10.1109/ICSPC57692.2023.10126067 DO https://doi.org/10.1109/ICSPC57692.2023.10126067 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
