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
A Novel and Effective Ensemble Machine Learning Model for I..:
, In:
2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
,
S, Arun Kumar
;
L, Hubert Mary.
;
V., Shaamili Varsa G
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ICECONF57129.2023.10083721
RT T1 <cTitle>2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)</cTitle>: T1 <Title>A Novel and Effective Ensemble Machine Learning Model for Identifying Healthy and Rotten Fruits</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10083721&Exemplar=1&LAN=DE A1 S, Arun Kumar A1 L, Hubert Mary. A1 V., Shaamili Varsa G A1 M.S, Ulaganathan. A1 Kannagi, L. A1 Bharathi, P. Shyamala YR 2023 K1 Support vector machines K1 Productivity K1 Food waste K1 Deep learning K1 Machine learning algorithms K1 Crops K1 Soil K1 Machine learning K1 ResNet K1 SVM K1 Ensemble Machine Learning Technique K1 maturity categorization K1 quality identification SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ICECONF57129.2023.10083721 DO https://doi.org/10.1109/ICECONF57129.2023.10083721 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
