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
Exoplanet Detection Using Feature Engineering with Ensemble..:
, In:
2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN)
,
Sai Rakesh, G. Venkata
;
Bhuvana Chandrika, M. Jahnavi
;
Rami Reddy, Ch. Venkata
. - p. 116-122 , 2023
Link:
https://doi.org/10.1109/ICPCSN58827.2023.00025
RT T1 <cTitle>2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN)</cTitle>: T1 <Title>Exoplanet Detection Using Feature Engineering with Ensemble Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10266186&Exemplar=1&LAN=DE A1 Sai Rakesh, G. Venkata A1 Bhuvana Chandrika, M. Jahnavi A1 Rami Reddy, Ch. Venkata A1 Suneetha, Muvva YR 2023 K1 Machine learning algorithms K1 Planets K1 Computational modeling K1 Exoplanet K1 Support vector machine classification K1 Static VAr compensators K1 Ensemble learning K1 Transit Method K1 Extra-terrestrial K1 Ensemble Learning K1 Majority Voting Technique SP 116 OP 122 LK http://dx.doi.org/https://doi.org/10.1109/ICPCSN58827.2023.00025 DO https://doi.org/10.1109/ICPCSN58827.2023.00025 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
