There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...

In some anomaly detection scenarios, such as the analysis of log files, the order in which data items appear carries some information. There are some research efforts that attempt to complement ...

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 ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions.

This denoising training approach encourages the model to learn more robust feature representations, enabling it to perform accurate anomaly detection even when faced with noisy data in real-world ...

Researchers have designed a robust image-based anomaly detection (AD) framework with illumination enhancement and noise suppression features that can enhance the detection of subtle defects in low ...