The graph below shows the total number of publications each year in Critical Node Detection in Network Graphs. References [1] Securing Network Resilience: Leveraging Node Centrality for ...

Discover how cutting-edge Leak Detection Sensor Networks (LDSNs) are transforming fenceline monitoring by delivering real-time emissions data, enabling proactive risk management ...

Once the sensor is applied, the Eversense system sends data to your smart device automatically every 5 minutes. It also alerts you via a vibration alarm if your blood glucose falls out of your ...

This paper introduces Sensor Graphs, a discrete event modeling language directed at physical systems with binary and identity sensors (e.g., RFID). The aim of Sensor Graphs is to simplify the modeling ...

Location and intersensor distance estimations are important functions for the operation of wireless sensor networks, especially when protocols can benefit from the distance information prior to ...

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community built servers and additional resources.. The servers in this ...