Intelligent sensing framework: Near-sensor machine learning for efficient data transmission
Applications in the Internet of Things (IoT) utilize machine learning (ML) to analyze sensor-
generated data. However, a major challenge lies in the lack of targeted intelligence in …
generated data. However, a major challenge lies in the lack of targeted intelligence in …
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning
In wireless networks, dynamic spectrum access is the key to improving spectrum utilization
and increasing channel capacity. Since the channels in wireless networks are highly …
and increasing channel capacity. Since the channels in wireless networks are highly …
CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection
Due to the rapidly evolving landscape of cybersecurity, the risks in securing cloud networks
and devices are attesting to be an increasingly prevalent research challenge. Reinforcement …
and devices are attesting to be an increasingly prevalent research challenge. Reinforcement …