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
Multi-Modal Transfer Learning with DenseNet and Random Fore..:
, In:
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
,
Prabavathy, Kethsy
;
R, Chitra.
;
Kumar, Chamarti Harshith
... - p. 978-983 , 2023
Link:
https://doi.org/10.1109/ICAAIC56838.2023.10141109
RT T1
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
: T1
Multi-Modal Transfer Learning with DenseNet and Random Forest for Accurate Detection of Powdery Mildew in Rice & Maize Crops
UL https://suche.suub.uni-bremen.de/peid=ieee-10141109&Exemplar=1&LAN=DE A1 Prabavathy, Kethsy A1 R, Chitra. A1 Kumar, Chamarti Harshith A1 Sri Sairahul, Narapareddygari A1 Johnson, Singamshetty A1 Arunodhayam T, Philip Paul YR 2023 K1 Training K1 Transfer learning K1 Crops K1 Vegetation mapping K1 Sensitivity and specificity K1 Feature extraction K1 Indexes K1 Multi-Modal Approach K1 Transfer Learning K1 DenseNet K1 Random Forest K1 Powdery Mildew K1 Rice Crops K1 Maize Crops K1 Vegetation Index K1 Data Augmentation SP 978 OP 983 LK http://dx.doi.org/https://doi.org/10.1109/ICAAIC56838.2023.10141109 DO https://doi.org/10.1109/ICAAIC56838.2023.10141109 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)