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
Predictive analysis of COVID 19 disease based on mathematic..:
Perepi, Rajarajeswari
;
Santhi, K.
;
Saraswathi, R.
.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 11 (2022) 3 - p. 933-941 , 2022
Link:
https://doi.org/10.1080/21681163.2022.2120829
RT Journal T1 <Title>Predictive analysis of COVID 19 disease based on mathematical modelling and machine learning techniques</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_21681163.2022.2120829&Exemplar=1&LAN=DE A1 Perepi, Rajarajeswari A1 Santhi, K. A1 Saraswathi, R. A1 Bég, O. Anwar PB Informa UK Limited YR 2022 SN 2168-1163 SN 2168-1171 JF Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization VO 11 IS 3 SP 933 OP 941 LK http://dx.doi.org/https://doi.org/10.1080/21681163.2022.2120829 DO https://doi.org/10.1080/21681163.2022.2120829 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
