All Stories

  1. A Systematic Machine Learning Methodology for Enhancing Accuracy and Reducing Computational Complexity in Forest Fire Detection
  2. Spatio-Temporal Agnostic Sampling for Imbalanced Multivariate Seasonal Time Series Data: A Study on Forest Fires
  3. Pre-Connect Handover Management for 5G Networks Using Multi-Agent Deep Q-Networks
  4. Toward a Universal Sensor: Predictive Inference for Adaptive Sensing in Wildfires
  5. Knowledge Graph Generation and Application for Unstructured Data Using Data Processing Pipeline
  6. In-Network Caching for ICN-Based IoT (ICN-IoT): A Comprehensive Survey
  7. iCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN-Based IoT Networks
  8. Validation of a Machine Learning-Based IDS Design Framework Using ORNL Datasets for Power System With SCADA
  9. Securing RPL Using Network Coding: The Chained Secure Mode (CSM)
  10. Deep Reinforcement Learning for Cost-Effective Controller Placement in Software-Defined Multihop Wireless Networking
  11. Providing Internet Access for Post-Disaster Communications using Balloon Networks
  12. Analysis of error-based machine learning algorithms in network anomaly detection and categorization
  13. Enhancing Routing Security in IoT: Performance Evaluation of RPL’s Secure Mode Under Attacks
  14. Smart Proactive Caching: Empower the Video Delivery for Autonomous Vehicles in ICN-Based Networks
  15. Threats to Online Advertising and Countermeasures
  16. An SDN-Based Caching Decision Policy for Video Caching in Information-Centric Networking
  17. Software-Based Video–Audio Production Mixer via an IP Network
  18. Improving software performance and reliability in a distributed and concurrent environment with an architecture-based self-adaptive framework
  19. sdn protection
  20. A subtree-based approach to failure detection and protection for multicast in SDN