Context Predictive maintenance is a technique for creating a more sustainable, safe, and
profitable industry. One of the key challenges for creating predictive maintenance systems is …

With the arrival of new technologies in modern smart factories, automated predictive
maintenance is also related to production robotisation. Intelligent sensors make it possible to …

The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and
represents the digital transformation of manufacturing, has a significant impact on society …

The building industry consumes the most energy globally, making it a priority in energy
efficiency initiatives. Heating, ventilation, and air conditioning (HVAC) systems create the …

Digital twins are being adopted by increasingly more industries, transforming them and
bringing new opportunities. Digital twins provide previously unheard levels of control over …

Abstract In recent years, Digital Twins (DT) have been implemented in different industrial
sectors, in several applications areas such as design, production, manufacturing, and …

While there has been a recent growth of interest in the Digital Twin, a variety of definitions
employed across industry and academia remain. There is a need to consolidate research …

Objective We define human–autonomy teaming and offer a synthesis of the existing
empirical research on the topic. Specifically, we identify the research environments …

When, in 1956, Artificial Intelligence (AI) was officially declared a research field, no one
would have ever predicted the huge influence and impact its description, prediction, and …

Smart manufacturing is arriving. It promises a future of mass-producing highly personalized
products via responsive autonomous manufacturing operations at a competitive cost. Of …