Industrial processes rely on sensory data for critical decision-making processes. Extracting
actionable insights from the collected data calls for an infrastructure that can ensure the …

Industrial processes rely on sensory data for decision-making processes, risk assessment,
and performance evaluation. Extracting actionable insights from the collected data calls for …

The rapid expansion of the Industrial Internet of Things (IIoT) necessitates the digitization of
industrial processes in order to increase network efficiency. The integration of Digital Twin …

As the number of IoT devices increases, sustainability is becoming a bottleneck of the
production process in industrial systems. As a matter of fact, inefficient management and …

The smart manufacturing ecosystem enhances the end-to-end efficiency of the mine-to-
market lifecycle to create the value chain using the big data generated rapidly by edge …

Trustworthy data is the fuel for ensuring transparent traceability, precise decision-making,
and cogent coordination in the Supply Chain (SC) space. However, the disparate data silos …

The advent of blockchain technology can refine the concept of DTs by ensuring
transparency, decentralized data storage, data immutability, and peer-to-peer …

There is a current wave of a new generation of digital solutions based on intelligent systems,
hybrid digital twins and AI-driven optimization tools to assure quality in smart factories. Such …

The complexity of cyberattacks in Cyber-Physical Systems (CPSs) calls for a mechanism that
can evaluate critical infrastructures' operational behaviour and security without affecting the …

Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …