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    Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

    Published 2025-01-01
    “…Convolutional neural networks (CNNs) are increasingly recognized as an important and potent artificial intelligence approach, widely employed in many computer vision applications, such as facial recognition. …”
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  11. 691

    UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

    Published 2018-01-01
    “…Hence, the communications interface used and that computation complexity are additional factors to consider when designing secure protocols for these networks. …”
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    A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

    Published 2024-01-01
    “…Intrusion detection (ID) is critical in securing computer networks against various malicious attacks. …”
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    Application of Blockchain and Internet of Things in Healthcare and Medical Sector: Applications, Challenges, and Future Perspectives by Pranav Ratta, Amanpreet Kaur, Sparsh Sharma, Mohammad Shabaz, Gaurav Dhiman

    Published 2021-01-01
    “…Few major reasons for using the Blockchain in healthcare systems are its prominent features, i.e., Decentralization, Immutability, Security and Privacy, and Transparency. …”
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    EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis by Syed Muhammad Aqleem Abbas, Qaisar Abbas, Syed Muhammad Naqi

    Published 2025-01-01
    “…Facial emotions are expressions of people’s inner feelings. A computer’s ability to recognize emotions is known as emotion recognition (ER), which involves extracting facial characteristics or expressions from a person’s face in order to enable the computer to communicate emotionally with them. …”
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    Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors by Bandar Alotaibi, Munif Alotaibi

    Published 2025-04-01
    “…This research proposes a hybrid deep learning framework that combines techniques from computer vision and sequence modeling, namely, ViT-inspired patch extraction, multi-head attention, and BiLSTM networks, to authenticate users continuously from smartphone sensor data. …”
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    Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

    Published 2020-01-01
    “…Accordingly, the monitoring of computers and networks is too complicated for network administrators. …”
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