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
Comparative Study of Multi-Biometrics Authentication Using ..:
, In:
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Kumar, Amit
;
Jain, Sarika
;
Kumar, Manoj
- p. 1-5 , 2024
Link:
https://doi.org/10.1109/ICRITO61523.2024.10522125
RT T1 <cTitle>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Comparative Study of Multi-Biometrics Authentication Using Machine Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10522125&Exemplar=1&LAN=DE A1 Kumar, Amit A1 Jain, Sarika A1 Kumar, Manoj YR 2024 SN 2769-2884 K1 Measurement K1 YOLO K1 Support vector machines K1 Analytical models K1 Machine learning algorithms K1 Face recognition K1 Biological system modeling K1 Multi-Biometric K1 Uni-Biometric K1 Machine Learning Algorithms K1 Fusion Technique SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO61523.2024.10522125 DO https://doi.org/10.1109/ICRITO61523.2024.10522125 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
