Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Achieving accurate and robust global situational awareness of a complex time-evolving field from a limited number of sensors has been a long-standing challenge. This reconstruction problem is especially difficult when sensors are sparsely positioned in a seemingly random or unorganized manner, which is often encountered in a range of scientific and...
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Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
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TN_cdi_proquest_journals_2622645878
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2622645878
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ISSN
2522-5839
E-ISSN
2522-5839
DOI
10.1038/s42256-021-00402-2
