Login / Signup
Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing.
Benjamin Uhrich
Nils Pfeifer
Martin Schäfer
Oliver Theile
Erhard Rahm
Published in:
Appl. Intell. (2024)
Keyphrases
</>
deep learning
unsupervised feature learning
machine learning
unsupervised learning
deep architectures
mental models
weakly supervised
restricted boltzmann machine
information retrieval
feature selection
image features
maximum likelihood
automatic extraction
deep belief networks