Time series forecasting has been performed for decades in both science and industry. The
forecasting models have evolved steadily over time. Statistical methods have been used for …

As modern vehicles system becomes increasingly complex, there is an urgent need to
develop a framework to monitor the behavior and detect the unhealthy states to …

Diabetes mellitus is a widespread chronic disease and is one of the main causes of death
worldwide. In order to improve the quality of life of people with diabetes and reduce the …

Internet-based services have seen remarkable success, generating vast amounts of
monitored key performance indicators (KPIs) as univariate or multivariate time series …

With the growing complexity of modern vehicle system, the capability of modeling the
behavior of different subsystems and predicting their forthcoming patterns become vital. It …

The successful operation of a modern company re-lays on the dependability of its software
infrastructure. However, ensuring a robust and dependable software infrastructure can be …

Intrusion detection systems examine the computer or network for potential security
vulnerabilities. Time series data is real‐valued. The nature of the data influences the type of …

Anomalies are defined as behavioral deviations from expected patterns and pose
challenges to identify them. Anomaly detection is a fundamental activity of time series …

With the rapid development of the Internet, web services have penetrated into all areas of
society, and ensuring the stability of web services has become more and more important …

Forecasting RES generation is an important task both in finding the optimal location for
newly commissioned RES generation facilities, and in solving problems of existing electric …