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
Domain-Adaptive Fall Detection Using Deep Adversarial Train..:
Liu, Kai-Chun
;
Chan, Michael
;
Kuo, Heng-Cheng
...
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29 (2021) - p. 1243-1251 , 2021
Link:
https://doi.org/10.1109/tnsre.2021.3089685
RT Journal T1 <Title>Domain-Adaptive Fall Detection Using Deep Adversarial Training</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tnsre.2021.3089685&Exemplar=1&LAN=DE A1 Liu, Kai-Chun A1 Chan, Michael A1 Kuo, Heng-Cheng A1 Hsieh, Chia-Yeh A1 Huang, Hsiang-Yun A1 Chan, Chia-Tai A1 Tsao, Yu PB Institute of Electrical and Electronics Engineers (IEEE) YR 2021 SN 1534-4320 SN 1558-0210 JF IEEE Transactions on Neural Systems and Rehabilitation Engineering VO 29 SP 1243 OP 1251 LK http://dx.doi.org/https://doi.org/10.1109/tnsre.2021.3089685 DO https://doi.org/10.1109/tnsre.2021.3089685 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
