Dominik Kißkalt
Orcid: 0000-0002-6398-1745
According to our database1,
Dominik Kißkalt
authored at least 8 papers
between 2018 and 2022.
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Bibliography
2022
Artificial Intelligence-Based Assistance System for Visual Inspection of X-ray Scatter Grids.
Sensors, 2022
2021
In-situ identification of material batches using machine learning for machining operations.
J. Intell. Manuf., 2021
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020
2019
Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
A novel approach for data-driven process and condition monitoring systems on the example of mill-turn centers.
Prod. Eng., 2018