Nature

Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network

The gearbox, as a key transmission device in the industrial field, may lead to severe vibrations or even failures when abnormalities occur. Therefore, with the increasing complexity of industrial ...
Nature

A lightweight anomaly detection model for network traffic using multi scale spatio temporal residual learning

With the continuous upgrading of network attacks, network abnormal traffic detection has become a key technology to ensure network security. However, existing detection methods still face challenges ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Data Anomaly Detection Using LightGBM Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data ...
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, ...