Advancing Autoencoder Architectures for Enhanced Anomaly Detection in Multivariate Industrial Time Series
Byeongcheon Lee, Sangmin Kim, Muazzam Maqsood, Jihoon Moon, Seungmin Rho · Computers, materials & continua/Computers, materials & continua (Print) · 2024
In the context of rapid digitization in industrial environments, how effective are advanced unsupervised learning models, particularly hybrid autoencoder models, at detecting anomalies in industrial control system (ICS) datas... | Find, read and cite all the research you need on Tech Science Press