Dominik Kißkalt
Friedrich-Alexander-Universität Erlangen-Nürnberg
H-index: 10
Europe-Germany
Top articles of Dominik Kißkalt
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Data-driven quality monitoring of needle winding processes in electric motor production using machine learning techniques | Procedia CIRP | Andreas Mayr Fabian Scheffler Robert Fuder Tim Raffin Dominik Kißkalt | 2023/1/1 |
Interactive image segmentation using superpixels and deep metric learning for tool condition monitoring | Procedia CIRP | Benjamin Lutz Lucas Janisch Dominik Kisskalt Daniel Regulin Jörg Franke | 2023/1/1 |
Artificial Intelligence-Based Assistance System for Visual Inspection of X-ray Scatter Grids | Sensors | Andreas Selmaier David Kunz Dominik Kisskalt Mohamed Benaziz Jens Fürst | 2022/1/21 |
Material Identification for Smart Manufacturing Systems: A Review | Benjamin Lutz Dominik Kisskalt Daniel Regulin Tobias Hauser Jörg Franke | 2021/5/10 | |
Towards “design for interoperability” in the context of systems engineering | Procedia CIRP | Martin Sjarov Dominik Kißkalt Tobias Lechler Andreas Selmaier Jörg Franke | 2021/1/1 |
Towards an intelligent linear winding process through sensor integration and machine learning techniques | Procedia CIRP | Andreas Mayr Dominik Kißkalt Alexander Lomakin Knut Graichen Jörg Franke | 2021/1/1 |
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks | Andreas Selmaier Benjamin Lutz Dominik Kisskalt Simon Börnicke Jens Fürst | 2021/12/13 | |
Multi-agent reinforcement learning for the energy optimization of cyber-physical production systems | Artificial Intelligence in Industry 4.0: A Collection of Innovative Research Case-studies that are Reworking the Way We Look at Industry 4.0 Thanks to Artificial Intelligence | Jupiter Bakakeu Schirin Baer Hans-Henning Klos Joern Peschke Matthias Brossog | 2021 |
Automated domain adaptation in tool condition monitoring using generative adversarial networks | Benjamin Lutz Dominik Kisskalt Daniel Regulin Burak Aybar Jörg Franke | 2021/8/23 | |
In-situ identification of material batches using machine learning for machining operations | Journal of Intelligent Manufacturing | Benjamin Lutz Dominik Kisskalt Andreas Mayr Daniel Regulin Matteo Pantano | 2021/6 |
Ai-based approach for predicting the machinability under consideration of material batch deviations in turning processes | Procedia CIRP | Benjamin Lutz Dominik Kisskalt Daniel Regulin Jörg Franke | 2020/1/1 |
Streamlining the development of data-driven industrial applications by automated machine learning | Procedia CIRP | Dominik Kißkalt Andreas Mayr Benjamin Lutz Annelie Rögele Jörg Franke | 2020/1/1 |
Benchmark of automated machine learning with state-of-the-art image segmentation algorithms for tool condition monitoring | Procedia Manufacturing | B Lutz R Reisch D Kisskalt B Avci D Regulin | 2020/1/1 |
