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6 ta ish

Ish: VANET Network Traffic Anomaly Detection Using GRU-Based Deep Learning Model

  1. Blockchain‐Based Anomaly Detection in Vehicular Ad‐Hoc Networks Using Deep Reinforcement Learning

    A. Phani Sheetal, Mohammed Khalaf, Abdelhamid Zaïdi +6

    MaqolaBlockchain Technology Applications and SecurityTransactions on Emerging Telecommunications Technologies20250 iqtibos
    ABI

  2. Dynamic Weight Allocation–Based Network Security and Anomaly Detection Model for Intelligent <scp>VANETs</scp>

    Aadam Quraishi, Rakeshnag Dasari, Sushilkumar Dangiya +6

    MaqolaVehicular Ad Hoc Networks (VANETs)Transactions on Emerging Telecommunications Technologies20250 iqtibos
    ABI

  3. Particle Swarm Optimization for Feature Selection in IoT Sensor Anomaly Detection

    Taher M. Ghazal, Amer Ibrahim, V. B. K. L. Aruna +3

    MaqolaAnomaly Detection Techniques and Applications20250 iqtibos
    ABI

  4. Graph Neural Networks for Insider Threat Detection in Corporate Networks

    Taher M. Ghazal, Amer Ibrahim, Dilmurod Nasimov +3

    MaqolaAdvanced Graph Neural Networks20250 iqtibos
    ABI

  5. Reinforcement Learning-Driven Adaptive Traffic Signal Control in Metropolitan Areas

    A. Nidal Al-Dmour, O. Nowf, L. N. Tuychiev +2

    MaqolaTraffic control and management20250 iqtibos
    ABI

  6. Ant Colony Optimization for Multi-Objective Urban Traffic Light Scheduling

    Israa shihabAhmed, M. Sh. Karimov, C. Karpagham +2

    MaqolaVehicle Routing Optimization Methods20250 iqtibos
    ABI