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

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 ...

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well ...

More information: Dinh-Cuong Hoang et al, Image-based anomaly detection in low-light industrial environments with feature enhancement, Results in Engineering (2025).

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 ...

Fault detection and diagnosis (FDD) constitute a critical area of research that underpins the efficient and safe operation of modern industrial processes.