Anomaly detection has recently been applied to various areas, and several techniques
based on deep learning have been proposed for the analysis of multivariate time series. In …

The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …

Time series Anomaly Detection (AD) plays a crucial role for web systems. Various web
systems rely on time series data to monitor and identify anomalies in real time, as well as to …

Anomaly detection is a critical task in ensuring the security and safety of infrastructure and
individuals in smart environments. This paper provides a comprehensive analysis of recent …

This paper provides a comprehensive survey of anomaly detection for the Internet of Things
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …

Effectively detecting run-time performance anomalies is crucial for clouds to identify
abnormal performance behavior and forestall future incidents. To be used for real-world …

The market for urban distributed photovoltaics (DPV) is expected to take off in the next
decade. However, these systems are often subject to complex urban contexts and sub …

Marine diesel engines typically use multivariate time series for health condition monitoring,
the anomaly detection of which is fundamental and critical for an entity's operation and …

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

With the rapid development of cellular networks, wireless base stations (WBSes) have
become crucial infrastructure for mobile web systems. To ensure service quality, operators …