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
Student Engagement Prediction in MOOCs Using Deep Learning:
, In:
2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
,
Ahmad, Naeem
;
Khan, Zubair
;
Singh, Deepak
- p. 1-6 , 2023
Link:
https://doi.org/10.1109/ESCI56872.2023.10100007
RT T1
2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
: T1
Student Engagement Prediction in MOOCs Using Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10100007&Exemplar=1&LAN=DE A1 Ahmad, Naeem A1 Khan, Zubair A1 Singh, Deepak YR 2023 K1 Performance evaluation K1 Deep learning K1 Adaptation models K1 Cameras K1 Physiology K1 Sensors K1 Task analysis K1 Deep Learning K1 Student Engagement K1 Engagement Prediction K1 MOOCs K1 Transfer Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ESCI56872.2023.10100007 DO https://doi.org/10.1109/ESCI56872.2023.10100007 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)