All Stories

  1. Efficient Real-Time Anomaly Detection in IoT Networks Using One-Class Autoencoder and Deep Neural Network

    Article • Electronics, December 2024, MDPI AG

    Nehal Sakr

  2. An enhanced classification system of various rice plant diseases based on multi-level handcrafted feature extraction technique

    Article • Scientific Reports, December 2024, Springer Science + Business Media

    Nehal Sakr

  3. Underwater image restoration and enhancement: a comprehensive review of recent trends, challenges, and applications

    Article • The Visual Computer, October 2024, Springer Science + Business Media

    Nehal Sakr

  4. A hybrid approach for efficient feature selection in anomaly intrusion detection for IoT networks

    Article • The Journal of Supercomputing, August 2024, Springer Science + Business Media

    Nehal Sakr

  5. A Hybrid Feature Selection Model for Anomaly-Based Intrusion Detection in IoT Networks

    Article • July 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Nehal Sakr

  6. An Evaluation of Different Deep Feature Extraction Approaches for MRI-Based Brain Tumor Detection

    Article • September 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Nehal Sakr

  7. Colon Cancer Diagnosis Based on Machine Learning and Deep Learning: Modalities and Analysis Techniques

    Article • Sensors, November 2022, MDPI AG

    Prof. Dr. Mohammed M Elmogy, Professor Kyung Sup Kwak, Nehal Sakr

  8. Analyzing Public Perceptions Toward COVID-19 Vaccination Process Using Social Media and Machine Learning

    Article • August 2021, ACM (Association for Computing Machinery)

    Sara Elhishi, Nehal Sakr, Reem El-deeb

  9. Data driven recognition of interleaved and concurrent human activities with nonlinear characteristics

    Article • Journal of Intelligent & Fuzzy Systems Applications in Engineering and Technology, October 2019, IOS Press

    Nehal Sakr