Abstract Predictive Maintenance (PdM) has continually attracted interest from the
manufacturing community due to its significant potential in reducing unexpected machine …

As modern applications generate data at an unprecedented speed and often require the
querying/analysis of data spanning a large duration, it is crucial to develop indexing …

The integration of the huge data streams produced by the Industrial Internet of Things (IIoT)
can provide invaluable knowledge in the context of Industry 4.0, and is also an open …

The increasing complexity of industrial systems demands more effective and intelligent
maintenance approaches to address manufacturing defects arising from faults in multiple …

In smart factories, guaranteeing shopfloor-synchronised and real-time decision-making is
essential to be responsive to the ever-changing internal environment, namely the shopfloor …

As a result of the development of a new generation of artificial intelligence and carbon-
neutral technologies, traditional industries are undergoing dramatic transformations. The …

Abstract Industry 4.0 (I4. 0) implementation is a hot topic among manufacturing
organizations to reach smart factory status and integrate a fully connected ecosystem …

Maintenance is a vital aspect of ensuring the reliability, availability, and safety of machinery
and systems. Traditional maintenance approaches, such as corrective and preventive …

In the context of cyber-physical systems (CPS), understanding system behaviors is crucial
for ensuring reliability, efficiency, and trust. However, due to the increasing complexity of the …

The diverse research efforts in recent years in the area of stream reasoning (SR) led to a
wide range of SR engines. However, the lack of standardization and the diverse choices in …