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Novelty detection in rover-based planetary surface images using autoencoders

Author(s): Stefanuk B; Skonieczny K;

In the domain of planetary science, novelty detection is gaining attention because of the operational opportunities it offers, including annotated data products and downlink prioritization. Using a variational autoencoder (VAE), this work improves upon state-of-the-art novelty detection performance in the context of Martian exploration by > 7 % (measured ...

Article GUID: 36313243


Deep model integrated with data correlation analysis for multiple intermittent faults diagnosis.

Author(s): Yang J, Xie G, Yang Y, Zhang Y, Liu W

ISA Trans. 2019 May 30;: Authors: Yang J, Xie G, Yang Y, Zhang Y, Liu W

Article GUID: 31174854


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