As industries become automated and connectivity technologies advance, a wide range of
systems continues to generate massive amounts of data. Many approaches have been …

Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …

Time series anomaly detection has applications in a wide range of research fields and
applications, including manufacturing and healthcare. The presence of anomalies can …

The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

With growing dependence of industrial robots, a failure of an industrial robot may interrupt
current operation or even overall manufacturing workflows in the entire production line …

This article presents the results of research with the main goal of identifying possible
applications of edge computing (EC) in industry. This study used the methodology of …

To ensure the safety and stability of the rocket, it is essential to implement accurate anomaly
detection on key parts such as the liquid rocket engine (LRE). However, due to the indistinct …

Anomaly detection is a key task in Prognostics and Health Management (PHM) system.
Specially, in most practical applications, the lack of labels often exists which makes the …

Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …

Currently, most anomaly detection approaches in industrial control systems (ICSs) use
network event logs to build models, and current unsupervised machine learning methods …