Dominik Kißkalt

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Semantic Segmentation

Convolutional Neural Networks

Condition Monitoring

Top Venues

J. Intell. Manuf.

Publications

Andreas Selmaier, David Kunz, Dominik Kißkalt, Mohamed Benaziz, Jens Fürst, Jörg Franke
Artificial Intelligence-Based Assistance System for Visual Inspection of X-ray Scatter Grids. Sensors 22 (3) (2022)
Benjamin Lutz, Dominik Kißkalt, Daniel Regulin, Tobias Hauser, Jörg Franke
Material Identification for Smart Manufacturing Systems: A Review. ICPS (2021)
Andreas Selmaier, Benjamin Lutz, Dominik Kißkalt, Simon Börnicke, Jens Fürst, Jörg Franke
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks. ICMLA (2021)
Benjamin Lutz, Dominik Kißkalt, Andreas Mayr, Daniel Regulin, Matteo Pantano, Jörg Franke
In-situ identification of material batches using machine learning for machining operations. J. Intell. Manuf. 32 (5) (2021)
Benjamin Lutz, Dominik Kißkalt, Daniel Regulin, Burak Aybar, Jörg Franke
Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks. CASE (2021)
Jupiter Bakakeu, Dominik Kißkalt, Jörg Franke, Shirin Baer, Hans-Henning Klos, Jörn Peschke
Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems. CCECE (2020)
Benjamin Lutz, Dominik Kißkalt, Daniel Regulin, Raven Reisch, Andreas Schiffler, Jörg Franke
Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. ICMLA (2019)
Dominik Kißkalt, Hans Fleischmann, Sven Kreitlein, Manuel Knott, Jörg Franke
A novel approach for data-driven process and condition monitoring systems on the example of mill-turn centers. Prod. Eng. 12 (3-4) (2018)