Researchers analyze state-of-the-art approaches, limitations, and applications of deep learning-based anomaly detection in multivariate time series Unusual observations or anomalies in recorded data are common. Detection of such anomalies has applications in identifying credit card frauds, industrial intrusion, weather changes, medical seizures, etc. Chung-Ang University researchers have now provided an…