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 Machine Learning Approach for the Classification of Falls..:
Son, Hyunmok
;
Lim, Jae Woon
;
Park, Sangbae
...
IEEE Access. 10 (2022) - p. 77418-77431 , 2022
Link:
https://doi.org/10.1109/access.2022.3190618
RT Journal T1
A Machine Learning Approach for the Classification of Falls and Activities of Daily Living in Agricultural Workers
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_access.2022.3190618&Exemplar=1&LAN=DE A1 Son, Hyunmok A1 Lim, Jae Woon A1 Park, Sangbae A1 Park, Byeongjoo A1 Han, Jinsub A1 Kim, Hong Bae A1 Lee, Myung Chul A1 Jang, Kyoung-Je A1 Kim, Ghiseok A1 Chung, Jong Hoon PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2169-3536 JF IEEE Access VO 10 SP 77418 OP 77431 LK http://dx.doi.org/https://doi.org/10.1109/access.2022.3190618 DO https://doi.org/10.1109/access.2022.3190618 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)