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"Physics-informed deep learning to quantify anomalies for real-time fault ..."
Benjamin Uhrich et al. (2024)
- Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, Erhard Rahm:
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Appl. Intell. 54(6): 4736-4755 (2024)
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