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
Prediction of Stock Price Using Machine Learning Techniques:
, In:
2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)
,
Jena, Swarna Prabha
;
Yadav, Ankit Kumar
;
Gupta, Dhiraj
. - p. 169-174 , 2023
Link:
https://doi.org/10.1109/ICIDeA59866.2023.10295232
RT T1
2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA)
: T1
Prediction of Stock Price Using Machine Learning Techniques
UL https://suche.suub.uni-bremen.de/peid=ieee-10295232&Exemplar=1&LAN=DE A1 Jena, Swarna Prabha A1 Yadav, Ankit Kumar A1 Gupta, Dhiraj A1 Paikaray, Bijay Kumar YR 2023 K1 Radio frequency K1 Deep learning K1 Predictive models K1 Data collection K1 Benchmark testing K1 Data models K1 Noise measurement K1 LSTM K1 PML K1 Real Time Data K1 Accuracy K1 Deep Learning K1 Data Filling K1 Processing K1 Gates SP 169 OP 174 LK http://dx.doi.org/https://doi.org/10.1109/ICIDeA59866.2023.10295232 DO https://doi.org/10.1109/ICIDeA59866.2023.10295232 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)