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 Big-Data Approach to Defining Breathing Signatures for Id..:
, In:
2019 IEEE International Conference on Big Data (Big Data)
,
Rahman, Abrar
;
Weiner, Yonathan
;
Swanson, Hailey
... - p. 6195-6197 , 2019
Link:
https://doi.org/10.1109/BigData47090.2019.9006124
RT T1
2019 IEEE International Conference on Big Data (Big Data)
: T1
A Big-Data Approach to Defining Breathing Signatures for Identifying Respiratory Disease
UL https://suche.suub.uni-bremen.de/peid=ieee-9006124&Exemplar=1&LAN=DE A1 Rahman, Abrar A1 Weiner, Yonathan A1 Swanson, Hailey A1 Slepian, Rebecca A1 Abdullah, Anusheh A1 Slepian, Marvin J. YR 2019 K1 Diseases K1 Medical diagnosis K1 Patient monitoring K1 Wearable sensors K1 Big Data K1 Big-data K1 breathing signatures K1 pattern mining K1 respirations K1 Forced Vital Capacity K1 lung performance K1 data modeling K1 classification SP 6195 OP 6197 LK http://dx.doi.org/https://doi.org/10.1109/BigData47090.2019.9006124 DO https://doi.org/10.1109/BigData47090.2019.9006124 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)