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
Eye Fatigue Detection using Machine Learning and Deep Learn..:
, In:
2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
,
Syed, Ashfaq Ahamad
;
Keerthi, Hemanth
;
Reddy, V. H. Prasad
. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/MITADTSoCiCon60330.2024.105755..
RT T1
2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
: T1
Eye Fatigue Detection using Machine Learning and Deep Learning Classifiers
UL https://suche.suub.uni-bremen.de/peid=ieee-10575508&Exemplar=1&LAN=DE A1 Syed, Ashfaq Ahamad A1 Keerthi, Hemanth A1 Reddy, V. H. Prasad A1 Bhatta, Ch. V. S. A. Eswar YR 2024 K1 Training K1 Visualization K1 Webcams K1 Computational modeling K1 Fatigue K1 Integrated circuit modeling K1 Relays K1 Visual fatigue K1 Electronic displays K1 Artificial intelligence K1 Eye fatigue detection K1 Ocular size K1 Hyperparameter tuning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MITADTSoCiCon60330.2024.10575508 DO https://doi.org/10.1109/MITADTSoCiCon60330.2024.10575508 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)