Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Virtual sensing techniques allow for inferring signals at new unmonitored locations by exploiting spatio-temporal measurements coming from physical sensors at different locations. However, as the sensor coverage becomes sparse due to costs or other constraints, physical proximity cannot be used to support interpolation. In this paper, we overcome t...
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Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
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TN_cdi_proquest_journals_2929285040
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2929285040
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E-ISSN
2331-8422
