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
Scalable Gamma-Driven Multilayer Network for Brain Workload..:
Wu, Edmond Q.
;
Tang, Zhiri
;
Yao, Yuxuan
...
IEEE Transactions on Cybernetics. 52 (2022) 11 - p. 12464-12478 , 2022
Link:
https://doi.org/10.1109/tcyb.2021.3116964
RT Journal T1 <Title>Scalable Gamma-Driven Multilayer Network for Brain Workload Detection Through Functional Near-Infrared Spectroscopy</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcyb.2021.3116964&Exemplar=1&LAN=DE A1 Wu, Edmond Q. A1 Tang, Zhiri A1 Yao, Yuxuan A1 Qiu, Xu-Yi A1 Deng, Ping-Yu A1 Xiong, Pengwen A1 Song, Aiguo A1 Zhu, Li-Min A1 Zhou, MengChu PB Institute of Electrical and Electronics Engineers (IEEE) YR 2022 SN 2168-2267 SN 2168-2275 JF IEEE Transactions on Cybernetics VO 52 IS 11 SP 12464 OP 12478 LK http://dx.doi.org/https://doi.org/10.1109/tcyb.2021.3116964 DO https://doi.org/10.1109/tcyb.2021.3116964 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
