Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …

The Internet of Audio Things (IoAuT) is an emerging research field positioned at the
intersection of the Internet of Things, sound and music computing, artificial intelligence, and …

Cyber-threat protection is today's one of the most challenging research branches of
information technology, while the exponentially increasing number of tiny, connected …

Log messages are now broadly used in cloud and software systems. They are important for
classification and anomaly detection as millions of logs are generated each day. In this …

Industrial assets often feature multiple sensing devices to keep track of their status by
monitoring certain physical parameters. These readings can be analyzed with machine …

Forest fires are the main cause of desertification, and they have a disastrous impact on
agricultural and forest ecosystems. Modern fire detection and warning systems rely on …

Abstract The Internet of Things (IoT) refers to a network of Internet-enabled devices that can
make different operations, like sensing, communicating, and reacting to changes arising in …

Abstract Data-driven Anomaly Detection approaches have received increasing attention in
many application areas in the past few years as a tool to monitor complex systems in …

Inspection of mining assets is a crucial part of the maintenance process and is of interest to
several stakeholders (eg, OEMs, owners, users, and inspectors). Inspections require an …

In the recent years, a rapid growth of IoT devices has been observed, which in turn results in
a huge amount of data produced from multiple sources towards the most disparate cloud …