Flight data anomaly detection plays an imperative role in the safety and maintenance of
unmanned aerial vehicles (UAVs). It has attracted extensive attention from researchers …

Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …

The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of
improving quality of service and facilitating human lives. The IoT revolution has redefined …

In recent years, deep learning (DL) has been widely used in vehicle misbehavior detection
and has attracted great attention due to its powerful nonlinear mapping ability. However …

Load forecasting is one of the main concerns for power utility companies. It plays a
significant role in planning decisions, scheduling, operations, pricing, customer satisfaction …

Particle accelerators are complex facilities that produce large amounts of structured data
and have clear optimization goals as well as precisely defined control requirements. As such …

Although home Internet of Things (IoT) devices are typically plain and task oriented, the
context of their daily use may affect their traffic patterns. That is, a given IoT device will …

Anomaly detection for the Internet of Things (IoT) is a major intelligent service required by
many fields, including intrusion detection, state monitoring, device-activity analysis, and …

This paper analyzes the current real‐time monitoring system based on grey‐related IoT
security sensors for the detection of risk factors in the production environment of the Internet …

Anomaly detection for the Internet of Things (IoT) is a major intelligent service required by
many fields, including intrusion detection, device-activity analysis, and security supervision …