2 papers
cs.LG2025
Adaptive sampling using variational autoencoder and reinforcement learning
Adil Rasheed, Mikael Aleksander Jansen Shahly, Muhammad Faisal Aftab
Compressed sensing enables sparse sampling but relies on generic bases and random measurements, limiting efficiency and reconstruction quality. Optimal sensor placement uses histor…
cs.CV2024
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
Daniel Menges, Florian Stadtmann, Henrik Jordheim +1
This paper explores the development and practical application of a predictive digital twin specifically designed for condition monitoring, using advanced mathematical models and th…