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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.LG2024
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
Florian Stadtmann, Adil Rasheed
The demand for condition-based and predictive maintenance is rising across industries, especially for remote, high-value, and high-risk assets. In this article, the diagnostic digi…