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
Quantile Coarsening Analysis of High-Volume Wearable Activi..:
Ying Kuen Cheung
;
Pei-Yun Sabrina Hsueh
;
Ipek Ensari
..
http://www.mdpi.com/1424-8220/18/9/3056. , 2018
Link:
https://doi.org/10.3390/s18093056
RT Journal T1
Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:31a556ef752f40aa9a5ba415e9dc9ae3&Exemplar=1&LAN=DE A1 Ying Kuen Cheung A1 Pei-Yun Sabrina Hsueh A1 Ipek Ensari A1 Joshua Z. Willey A1 Keith M. Diaz PB MDPI AG YR 2018 K1 citizen science K1 cluster analysis K1 physical activity K1 sedentary behavior K1 walking K1 Chemical technology K1 TP1-1185 JF http://www.mdpi.com/1424-8220/18/9/3056 LK http://dx.doi.org/https://doi.org/10.3390/s18093056 DO https://doi.org/10.3390/s18093056 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)