Nature

An optimized LSTM-based deep learning model for anomaly network intrusion detection

In the modern age, substantial advancements have been made in the realm of Digital Technology, the Internet of Things (IoT), and diverse portable communication devices. The tremendous proliferation of ...
Nature

Unsupervised anomaly detection for gearboxes based on the deep convolutional support ...

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 ...
Visual Studio Magazine

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 anomaly detection. You can easily adapt ...
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, ...