Nature

Anomaly Detection in Images Using Deep Learning Techniques

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

08/02/2024 If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...

dxFeed Elevates Real-Time Market Intelligence with the Next-Generation Grenadier

PRNewswire/ -- dxFeed, a global provider of market data and financial technology solutions, announced a major upgrade to Grenadier, introducing the second generation of its AI-powered anomaly ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...