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
Fetal Health Classification using AI from Cardiotocography ..:
, In:
2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
,
Jyostna, G
;
Goyal, Himanshu Rai
;
Soudagar, Manzoore Elahi M.
... - p. 1544-1550 , 2023
Link:
https://doi.org/10.1109/ICIMIA60377.2023.10426089
RT T1
2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
: T1
Fetal Health Classification using AI from Cardiotocography Features
UL https://suche.suub.uni-bremen.de/peid=ieee-10426089&Exemplar=1&LAN=DE A1 Jyostna, G A1 Goyal, Himanshu Rai A1 Soudagar, Manzoore Elahi M. A1 Parikh, Swapnil A1 Patil, Harshal A1 Alaskar, Kamal YR 2023 K1 Support vector machines K1 Radio frequency K1 Fetal heart rate K1 Data models K1 Cardiography K1 Monitoring K1 Medical diagnostic imaging K1 Fetal K1 Cardiotocography K1 Outliers K1 Correlation K1 UCI Repository K1 Hybrid Machine Learning K1 Features SP 1544 OP 1550 LK http://dx.doi.org/https://doi.org/10.1109/ICIMIA60377.2023.10426089 DO https://doi.org/10.1109/ICIMIA60377.2023.10426089 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)