Giancarlo Bernasconi

Time Series Anomaly Detection Using Learning Entropy on Water Networks

The detection of anomalies in time series is a well-developed field; however, identifying very small incipient anomalies in nonlinear and nonpolynomial contexts remains challenging. This article proposes a novel approach to detect such anomalies in time series heavily affected by noise and pronounced trends. Our method...