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
Leveraging Deep Belief Networks and Multi-Class Support Vec..:
, In:
2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
,
Kiran, P
;
Saikiran, N
;
Srilatha, D
... - p. 1063-1068 , 2023
Link:
https://doi.org/10.1109/ICECA58529.2023.10395807
RT T1 <cTitle>2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)</cTitle>: T1 <Title>Leveraging Deep Belief Networks and Multi-Class Support Vector Machine for Nutritional Deficiency Identification in Grape Plant Leaves</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10395807&Exemplar=1&LAN=DE A1 Kiran, P A1 Saikiran, N A1 Srilatha, D A1 Rao, K Venkateswara A1 Rayudu, K M A1 Mounika, Rudrapati YR 2023 K1 Support vector machines K1 Earth K1 Plants (biology) K1 Pipelines K1 Crops K1 Soil K1 Minerals K1 Plant Leaves K1 Nutritional Deficiencies K1 Deep Belief Network K1 Prediction K1 Classification SP 1063 OP 1068 LK http://dx.doi.org/https://doi.org/10.1109/ICECA58529.2023.10395807 DO https://doi.org/10.1109/ICECA58529.2023.10395807 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
