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
Convolutional Neural Network Approach for Steady-State Soma..:
, In:
2023 20th International Conference on Ubiquitous Robots (UR)
,
Kim, Keun-Tae
;
Jeong, Ji-Hyeok
;
Sung, Dong-Jin
.. - p. 88-91 , 2023
Link:
https://doi.org/10.1109/UR57808.2023.10202401
RT T1
2023 20th International Conference on Ubiquitous Robots (UR)
: T1
Convolutional Neural Network Approach for Steady-State Somatosensory Evoked Potential-Based Robotic Exoskeleton Control
UL https://suche.suub.uni-bremen.de/peid=ieee-10202401&Exemplar=1&LAN=DE A1 Kim, Keun-Tae A1 Jeong, Ji-Hyeok A1 Sung, Dong-Jin A1 Kim, Hyungmin A1 Lee, Song Joo YR 2023 K1 Somatosensory K1 Legged locomotion K1 Exoskeletons K1 Feature extraction K1 Turning K1 Steady-state K1 Convolutional neural networks SP 88 OP 91 LK http://dx.doi.org/https://doi.org/10.1109/UR57808.2023.10202401 DO https://doi.org/10.1109/UR57808.2023.10202401 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)