A situation often encountered in the condition monitoring (CM) and health management of
gearboxes is that a large volume of CM data (eg, vibration signal) collected from a healthy …

Engineers at eBay utilize robust methods in monitoring IT system signals for anomalies.
However, the growing scale of signals, both in volumes and dimensions, overpowers …

Acoustic data provide scientific and engineering insights in fields ranging from biology and
communications to ocean and Earth science. We survey the recent advances and …

We propose a one-class neural network (OC-NN) model to detect anomalies in complex
data sets. OC-NN combines the ability of deep networks to extract a progressively rich …

Fault diagnosis of rolling bearing has been research focus to improve the productivity and
guarantee the operation security. In general, traditional approaches need prior knowledge of …

The lack of evidence for new interactions and particles at the Large Hadron Collider (LHC)
has motivated the high-energy physics community to explore model-agnostic data-analysis …

For many years, neuroscientists have investigated the behavioural, computational and
neurobiological mechanisms that support value-based decisions, revealing how humans …

With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …

Malware detection is an increasingly important operational focus in cyber security,
particularly, given the fast pace of such threats (eg, new malware variants introduced every …

Rotating machinery often operates under varying speed conditions. Fault detection is
necessary to prevent sudden failures and enable condition-based maintenance. Existing …