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
Micro-Expression Recognition Based on Nodal Efficiency in t..:
Zhao, Xingcong
;
Chen, Jiejia
;
Chen, Tong
...
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32 (2024) - p. 887-894 , 2024
Link:
https://doi.org/10.1109/tnsre.2023.3347601
RT Journal T1
Micro-Expression Recognition Based on Nodal Efficiency in the EEG Functional Networks
UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tnsre.2023.3347601&Exemplar=1&LAN=DE A1 Zhao, Xingcong A1 Chen, Jiejia A1 Chen, Tong A1 Liu, Ying A1 Wang, Shiyuan A1 Zeng, Xiaomei A1 Yan, Jilong A1 Liu, Guangyuan PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1534-4320 SN 1558-0210 JF IEEE Transactions on Neural Systems and Rehabilitation Engineering VO 32 SP 887 OP 894 LK http://dx.doi.org/https://doi.org/10.1109/tnsre.2023.3347601 DO https://doi.org/10.1109/tnsre.2023.3347601 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)