A team of scientists in the United States has combined both spatial and temporal attention mechanisms to develop a new approach for PV inverter fault detection. Training the new method on a dataset ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...

We implement the neuromorphic radar system through a printed-circuit board (PCB) prototype and carry out simulations for the IC version. Our experiments verify NeuroRadar’s ability to empower resource ...

The incidents are the latest in a rash of earthquakes reported in the Carolinas over the last two weeks.