The main advantage of using PCA for anomaly detection, compared to alternative techniques such as a neural autoencoder, is simplicity -- assuming you have a function that computes eigenvalues and ...

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

Edwin Sutrisno, Qingguo Fan, Diganta Das, Michael Pecht, Anomaly Detection for Insulated Gate Bipolar Transistor (IGBT) under Power Cycling using Principal Component Analysis and K-Nearest Neighbor ...

Video anomaly detection has always been a hot topic and has attracted increasing attention. Many of the existing methods for video anomaly detection depend on processing the entire video rather ...

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 ...

The main advantage of using PCA for anomaly detection, compared to alternative techniques such as a neural autoencoder, is simplicity -- assuming you have a function that computes eigenvalues and ...