most citedArtificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems

39 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024★ 1 cited

Exploring LLMs for Verifying Technical System Specifications Against Requirements

Lasse M. Reinpold, Marvin Schieseck, Lukas P. Wagner +2

Requirements engineering is a knowledge intensive process and crucial for the success of engineering projects. The field of knowledge-based requirements engineering (KBRE) aims to…

eess.SY2024

A Formal Model for Artificial Intelligence Applications in Automation Systems

Marvin Schieseck, Philip Topalis, Lasse Reinpold +2

The integration of Artificial Intelligence (AI) into automation systems has the potential to enhance efficiency and to address currently unsolved existing technical challenges. How…

cs.AI2024★ 39 cited

Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems

Alexander Windmann, Philipp Wittenberg, Marvin Schieseck +1

In Industry 4.0, Cyber-Physical Systems (CPS) generate vast data sets that can be leveraged by Artificial Intelligence (AI) for applications including predictive maintenance and pr…

cs.AI2023★ 6 cited

Integration of Domain Expert-Centric Ontology Design into the CRISP-DM for Cyber-Physical Production Systems

Milapji Singh Gill, Tom Westermann, Marvin Schieseck +1

In the age of Industry 4.0 and Cyber-Physical Production Systems (CPPSs) vast amounts of potentially valuable data are being generated. Methods from Machine Learning (ML) and Data…

cs.AI2023

A Graphical Modeling Language for Artificial Intelligence Applications in Automation Systems

Marvin Schieseck, Philip Topalis, Alexander Fay

Artificial Intelligence (AI) applications in automation systems are usually distributed systems whose development and integration involve several experts. Each expert uses its own…