Time series prediction stands at the forefront of the fourth industrial revolution (Industry 4.0),
offering a crucial analytical tool for the vast data streams generated by modern industrial …

Digital twins are considered among the most important technologies to optimize production
systems and support decision making. To benefit from their functionalities, it is essential to …

One of the challenges in twinned systems is ensuring the digital twin remains a valid
representation of the system it twins. Depending on the type of twinning occurring, it is either …

Digital twins are gaining relevance in many domains to improve the operation and
maintenance of complex systems. Despite their importance, most efforts are currently …

The recent development of new technologies within the Industry 4.0 revolution drives the
increased digitization of manufacturing plants. To effectively utilize the digital twins, it is …

This work provides an overview of digital twins, digital replicas of real entities conceived to
support analysis, improvements, and optimal decisions. Specifically, it aims to better clarify …

Digital Twins (DTs) have immense promise for exploiting the power of computer simulation
to control large-scale real-world systems. The key idea is to evaluate or optimize decisions …

As digitalization is permeating all sectors of society toward the concept of “smart everything,”
and virtual technologies and data are gaining a dominant place in the engineering and …

In recent years, there has been a significant increase in the deployment of Cyber-physical
Production Systems (CPPS) across various industries. CPPS consist of interconnected …

To provide its services, a digital twin system relies on models whose behavior adequately
simulates/mimics that of the twinned system. Deviations between the behaviors necessitate …