Enabling Machine Learning Tasks in Wearable Cyber-Physical Systems through Uncertainty Quantification and Signal Processing.
dc.contributor.advisor | Edgar Lobaton, Chair | |
dc.contributor.advisor | Tianfu Wu, Member | |
dc.contributor.advisor | Cranos Williams, Member | |
dc.contributor.advisor | Sujit Ghosh, Member | |
dc.contributor.author | da Silva, Rafael Luiz | |
dc.date.accepted | 2022-01-19 | |
dc.date.accessioned | 2022-03-18T12:30:22Z | |
dc.date.available | 2022-03-18T12:30:22Z | |
dc.date.defense | 2021-11-19 | |
dc.date.issued | 2021-11-19 | |
dc.date.released | 2022-03-18 | |
dc.date.reviewed | 2021-12-02 | |
dc.date.submitted | 2021-12-02 | |
dc.degree.discipline | Electrical Engineering | |
dc.degree.level | dissertation | |
dc.degree.name | Doctor of Philosophy | |
dc.identifier.other | deg27835 | |
dc.identifier.uri | https://www.lib.ncsu.edu/resolver/1840.20/39428 | |
dc.title | Enabling Machine Learning Tasks in Wearable Cyber-Physical Systems through Uncertainty Quantification and Signal Processing. |
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