An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning-Reference-Cited by-同舟云学术

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An Enhanced Electrocardiogram Biometric Authentication System Using Machine Learning

Published:2019 Issue: Volume:7 Page:123069-123075
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Al Alkeem Ebrahim,Kim Song-Kyoo^ORCID,Yeun Chan Yeob^ORCID,Zemerly Mohamed Jamal,Poon Kin Fai,Gianini Gabriele,Yoo Paul D.^ORCID

Funder

Center for Cyber-Physical Systems, Khalifa University

EU H2020 Research Programme Threat-Arrest

Concordia University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08812730.pdf?arnumber=8812730

Cited by 70 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robustness of Deep Learning models in electrocardiogram noise detection and classification;Computer Methods and Programs in Biomedicine;2024-08

2. Versatile Machine Learning-Based Authentications by Using Enhanced Time-Sliced Electrocardiograms;Information;2024-03-29

3. An Effective Combination of Pattern Recognition and Encryption Scheme for Biometric Authentication Systems;Advances in Computational Intelligence and Robotics;2024-03-04

4. Compact Data Learning for Machine Learning Classifications;Axioms;2024-02-21

5. Automation and Orchestration of Zero Trust Architecture: Potential Solutions and Challenges;Machine Intelligence Research;2024-01-25

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