Dominik Kißkalt

Machine Learning in Production – Potentials, Challenges and Exemplary Applications

Andreas Mayr, Dominik Kißkalt, Moritz Meiners et al. · Procedia CIRP · 2019 · 81 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

Streamlining the development of data-driven industrial applications by automated machine learning

Dominik Kißkalt, Andreas Mayr, Benjamin Lutz et al. · Procedia CIRP · 2020 · 17 citations · Full text

Engineering, Machine Learning, Industrial Engineering +20

A novel approach for data-driven process and condition monitoring systems on the example of mill-turn centers

Dominik Kißkalt, Hans Fleischmann, Sven Kreitlein et al. · Production Engineering · 2018 · 14 citations

Condition Monitoring, Reliability Engineering, Engineering +14

Towards an intelligent linear winding process through sensor integration and machine learning techniques

Andreas Mayr, Dominik Kißkalt, Alexander Lomakin et al. · Procedia CIRP · 2021 · 14 citations · Full text

Electric Machine, Engineering, Machine Learning +16

Towards “Design for Interoperability” in the context of Systems Engineering

Martin Sjarov, Dominik Kißkalt, Tobias Lechler et al. · Procedia CIRP · 2021 · 13 citations · Full text