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Tim von Hahn
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Self-supervised learning for tool wear monitoring with a disentangled-variational-autoencoder
T von Hahn, CK Mechefske
International Journal of Hydromechatronics 4 (1), 69-98, 2021
672021
Knowledge Informed Machine Learning using a Weibull-based Loss Function
T von Hahn, CK Mechefske
Journal of Prognostics and Health Management 2 (1), 9-44, 2022
82022
Machine Learning in CNC Machining: Best Practices
T von Hahn, CK Mechefske
Machines 10 (12), 1233, 2022
52022
Computational reproducibility within prognostics and health management
T von Hahn, CK Mechefske
arXiv preprint arXiv:2205.15489, 2022
42022
EarthGAN: Can we visualize the Earth's mantle convection using a surrogate model?
T von Hahn, CK Mechefske
arXiv preprint arXiv:2110.13315, 2021
2021
Feature Engineering and End-to-End Deep Learning in Tool Wear Monitoring
T von Hahn
Queen's University, 2020
2020
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Articles 1–6