Additional modules such as SCNN (Spatial Convolutional Neural Network), DMO (Dynamic Multi-Objective Optimization), PRA (Prioritized Resource Allocation), and RFM (Real-Time Feedback Mechanism) ...

To resolve the existing challenges of anomaly detection in complicated definitions, complex backgrounds, and local occurrence, a weighted convolutional autoencoder-long short-term memory network is ...

State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fujian 350002, China ...

This article introduces an Adversarial Regularized Graph Autoencoder (ARGAE) enhanced by a multiscale Chebyshev Convolutional (ChebConv) encoder (MSCE) (ARGAE-MSCE), designed for unsupervised anomaly ...

This example applies various anomaly detection approaches to operating data from an industrial machine. Specifically it covers: Extracting relevant features from industrial vibration timeseries data ...