The collection and analysis of industrial Internet of Things (IIoT) data offer numerous
opportunities for value creation, particularly in manufacturing industries. For small and …

Implementing machine learning technologies in manufacturing environment relies heavily
on human expertise in terms of domain and machine learning knowledge. Yet, the required …

Prescriptive analytics plays an important role in decision making in smart factories by
utilizing the available data to gain actionable insights. The planning, integration and …

The escalating climate crisis requires innovative strategies across industries to mitigate
environmental impacts, particularly in energy-intensive sectors like the process industry …

This paper describes an approach for integrating a Machine Learning (ML) model for fault
detection into an Asset Administration Shell (AAS), focusing on the seamless deployment of …

Industrial Data Analytics needs access to huge amounts of data, which is scattered across
different IT systems. As part of an integrated reference kit for Industrial Data Analytics, there …

The convergence of information technology with production technology, coupled with the
escalating intricacy of production processes and products, is leading to new demands on the …

Industry 4.0 can be seen as the new paradigm shift in the field of industrial production,
leading to the digitalization of manufacturing processes. To this end, the concept of Digital …

The importance of cross-process multivariate data analysis for improving products and
processes is continuously increasing. Artificial intelligence and machine learning offer new …

With the growing popularization of the Artificial Intelligence (AI) field, the development of
systems that rely on, at least, one of its subareas has also experienced a great increase. The …