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
Detection Of Arrhythmia Using Machine Learning(Heart Diseas..:
, In:
2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)
,
Kumar M, Ram
;
E, Gokula Krishnan
;
R, Dharneeshwar
. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/ICACTA54488.2022.9752920
RT T1
2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)
: T1
Detection Of Arrhythmia Using Machine Learning(Heart Disease) And ECG
UL https://suche.suub.uni-bremen.de/peid=ieee-9752920&Exemplar=1&LAN=DE A1 Kumar M, Ram A1 E, Gokula Krishnan A1 R, Dharneeshwar A1 M, Dinep Kumar YR 2022 K1 Heart K1 Machine learning algorithms K1 Computational modeling K1 Neural networks K1 Clustering algorithms K1 Cardiac arrest K1 Electrocardiography K1 ECG K1 CNN K1 DWT K1 Decision Tree SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICACTA54488.2022.9752920 DO https://doi.org/10.1109/ICACTA54488.2022.9752920 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)