Работы, цитирующие эту работу

Работ: 6

Работа: 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

   СтатьяBlockchain Technology Applications and SecurityTransactions on Emerging Telecommunications Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001385

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

   Aadam Quraishi, Rakeshnag Dasari, Sushilkumar Dangiya +6

   СтатьяVehicular Ad Hoc Networks (VANETs)Transactions on Emerging Telecommunications Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003063

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

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

   СтатьяAnomaly Detection Techniques and Applications2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018029

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

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

   СтатьяAdvanced Graph Neural Networks2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018050

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

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

   СтатьяTraffic control and management2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018071

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

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

   СтатьяVehicle Routing Optimization Methods2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.018077