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
Exploring the Path: Machine Learning Approaches to Cardiova..:
, In:
2024 10th International Conference on Communication and Signal Processing (ICCSP)
,
Madala, NagaCharitavya
;
Tallapudi, Sai Durga Sardhi Pranu Deepak
;
Chimata, Mahitha
... - p. 1690-1695 , 2024
Link:
https://doi.org/10.1109/ICCSP60870.2024.10543305
RT T1 <cTitle>2024 10th International Conference on Communication and Signal Processing (ICCSP)</cTitle>: T1 <Title>Exploring the Path: Machine Learning Approaches to Cardiovascular Risk Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10543305&Exemplar=1&LAN=DE A1 Madala, NagaCharitavya A1 Tallapudi, Sai Durga Sardhi Pranu Deepak A1 Chimata, Mahitha A1 Malladi, Venkata Srikari A1 Tokala, Srilatha A1 Enduri, Murali Krishna YR 2024 SN 2836-1873 K1 Radio frequency K1 Heart K1 Forestry K1 Predictive models K1 Boosting K1 Prediction algorithms K1 Vectors K1 cardiovascular disease K1 predictive modeling K1 machine learning algorithms K1 atherosclerosis SP 1690 OP 1695 LK http://dx.doi.org/https://doi.org/10.1109/ICCSP60870.2024.10543305 DO https://doi.org/10.1109/ICCSP60870.2024.10543305 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
