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"Deep Learning Modalities for Biometric Alteration Detection in 5G ..."

Ahmed Sedik et al. (2021)

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DOI: 10.1109/ACCESS.2021.3088341

access: open

type: Journal Article

metadata version: 2023-09-14

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Ahmed Sedik, Lo'ai Tawalbeh, Mohamed Hammad, Ahmed A. Abd El-Latif, Ghada M. El Banby, Ashraf A. M. Khalaf, Fathi E. Abd El-Samie, Abdullah M. Iliyasu:
Deep Learning Modalities for Biometric Alteration Detection in 5G Networks-Based Secure Smart Cities. IEEE Access 9: 94780-94788 (2021)

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