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
An Ensemble Learning to Predict Glucose Level of Patient by..:
, In:
2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
,
Ati, Modafar
;
Ali, Muhammad Ikram
;
Khan, Muhammad Usman Ghani
- p. 366-369 , 2022
Link:
https://doi.org/10.1109/ICECTA57148.2022.9990415
RT T1 <cTitle>2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)</cTitle>: T1 <Title>An Ensemble Learning to Predict Glucose Level of Patient by Urine Sample</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9990415&Exemplar=1&LAN=DE A1 Ati, Modafar A1 Ali, Muhammad Ikram A1 Khan, Muhammad Usman Ghani YR 2022 K1 Support vector machines K1 Computational modeling K1 Supervised learning K1 Stacking K1 Medical services K1 Diabetes K1 Glucose K1 Glucose Prediction K1 Conventional ML K1 Ensemble Learning SP 366 OP 369 LK http://dx.doi.org/https://doi.org/10.1109/ICECTA57148.2022.9990415 DO https://doi.org/10.1109/ICECTA57148.2022.9990415 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
