Unsupervised Anomaly Detection Approach Based on Adversarial Memory Autoencoders for Multivariate Time Series
Tianzi Zhao, Liang Jin, Xiaofeng Zhou, Shuai Li, Shurui Liu, Jiang Zhu · Computers, materials & continua/Computers, materials & continua (Print) · 2023
The widespread usage of Cyber Physical Systems (CPSs) generates a vast volume of time series data, and precisely determining anomalies in the data is critical for practical production. Autoencoder is the mainstream method for... | Find, read and cite all the research you need on Tech Science Press