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
Development of a Learning-Based Intention Detection Framewo..:
, In:
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
,
Khalili, Mahsa
;
Zhang, Yang
;
Gil, Alexandra
... - p. 118-123 , 2020
Link:
https://doi.org/10.1109/RO-MAN47096.2020.9223508
RT T1
2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
: T1
Development of a Learning-Based Intention Detection Framework for Power-Assisted Manual Wheelchair Users
UL https://suche.suub.uni-bremen.de/peid=ieee-9223508&Exemplar=1&LAN=DE A1 Khalili, Mahsa A1 Zhang, Yang A1 Gil, Alexandra A1 Zhao, Leo A1 Kuo, Calvin A1 Van der Loos, H. F. Machiel A1 Borisoff, Jaimie F. YR 2020 SN 1944-9437 SP 118 OP 123 LK http://dx.doi.org/https://doi.org/10.1109/RO-MAN47096.2020.9223508 DO https://doi.org/10.1109/RO-MAN47096.2020.9223508 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)