Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities-Reference-Cited by-同舟云学术

Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities

Published:2021 Issue: Volume:9 Page:94780-94788
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sedik Ahmed^ORCID,Tawalbeh Lo'Ai^ORCID,Hammad Mohamed^ORCID,El-Latif Ahmed A. Abd^ORCID,El-Banby Ghada M.,Khalaf Ashraf A. M.^ORCID,El-Samie Fathi E. Abd^ORCID,Iliyasu Abdullah M.^ORCID

Funder

Chancellor Research Initiative grant CRI awarded to Texas A and M UniversitySan Antonio TX USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09450808.pdf?arnumber=9450808

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