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
A new RNN based machine learning model to forecast COVID-19..:
Muñoz Organero, Mario
;
Callejo Pinardo, Patricia
;
Hombrados Herrera, Miguel Ángel
Gobierno de España. PID2019-105221RB-C44. , 2023
Link:
http://hdl.handle.net/10016/39041
RT Journal T1
A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid
UL https://suche.suub.uni-bremen.de/peid=base-ftunivcarlosmadr:oai:e-archivo.uc3m.es:10016_39041&Exemplar=1&LAN=DE A1 Muñoz Organero, Mario A1 Callejo Pinardo, Patricia A1 Hombrados Herrera, Miguel Ángel PB Elsevier YR 2023 K1 COVID-19 short term forecast K1 LSTM machine learning models K1 Long short-term memory K1 Mobility enhanced models K1 Open data driven models K1 Telecomunicaciones JF Gobierno de España. PID2019-105221RB-C44 LK http://hdl.handle.net/10016/39041 DO http://hdl.handle.net/10016/39041 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)