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
Evaluation System of Student's Concentration Using Deep Lea..:
, In:
2023 International Conference on Advanced Computing and Analytics (ACOMPA)
,
Vinh, Truong Quang
;
Bang, Nguyen
- p. 124-130 , 2023
Link:
https://doi.org/10.1109/ACOMPA61072.2023.00029
RT T1 <cTitle>2023 International Conference on Advanced Computing and Analytics (ACOMPA)</cTitle>: T1 <Title>Evaluation System of Student's Concentration Using Deep Learning-Based Head-Pose Estimation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10473657&Exemplar=1&LAN=DE A1 Vinh, Truong Quang A1 Bang, Nguyen YR 2023 K1 Deep learning K1 Pose estimation K1 Face detection K1 student's concentration K1 online learning K1 head-pose estimation K1 face detection K1 deep learning SP 124 OP 130 LK http://dx.doi.org/https://doi.org/10.1109/ACOMPA61072.2023.00029 DO https://doi.org/10.1109/ACOMPA61072.2023.00029 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
