IEEE

Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security

Abstract: Network Intrusion Detection Systems (NIDSs) are fundamental to safeguarding computer networks. Intrusion detection systems must become more effective as new attacks are developed and ...
Recycling Today

McNeilus introduces AI material contamination detection technology

The new system combines McNeilus' innovation with Lixo’s advanced AI to identify contaminants during collection and manage recycling contamination.
InfoQ

Beyond Memory Safety: What Makes Rust Different – Lessons from Autonomous Robotics

This article explores that question through the lens of a real-world Rust project: a system responsible for controlling ...
IEEE

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach

Abstract: Wireless Sensor Networks (WSN) play a pivotal role in various domains, including monitoring, security, and data transmission. However, their susceptibility to intrusions poses a significant ...

Can see through walls: Open-source WiFi tool detects human movement behind walls without cameras

A new open-source project, WiFi DensePose, uses ordinary WiFi signals to detect human movement behind walls without cameras.
EurekAlert!

Machine learning reveals Raman signatures of liquid-like ion conduction in solid electrolytes

A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...