IEEE

Graph-Based Visualization and Fault Diagnosis in Large-Scale Industrial Sensor Networks Using KNN-Constructed Graph Neural Networks(GNN)-A Approach Synthetic Dataset

Abstract: In this study, we present a scalable method for modeling and visualizing large-scale industrial sensor networks using Graph Neural Network (GNN) principles. By applying the K-Nearest ...
C&EN

In Situ Performance Monitoring of Electrochemical Oxygen and Hydrogen Peroxide Sensors in an Additively Manufactured Modular Microreactor

Laboratory for Sensors, IMTEK − Department of Microsystems Engineering, University of Freiburg, 79110 Freiburg, Germany Laboratory for Electrical Instrumentation and Embedded Systems, IMTEK − ...
IEEE

A Novel Hierarchical Graph Neural Network with Heterogeneous Multi-Sensor Data for Fault Diagnosis of Complex Mechanical Equipment

Abstract: Modern mechanical equipment increasingly relies on multi-sensor data for health monitoring, which generates complex, heterogeneous, non-Euclidean data that conventional methods struggle to ...
AOL

What the FDA’s 2026 Update Means for Wearables

As new consumer hardware and software capabilities have bumped up against medicine over the last few years, consumers and manufacturers alike have struggled with identifying the line between “wellness ...