Incident Hotspots Prediction in North Carolina for Effective Incident Management using Deep Learning Techniques.
dc.contributor.advisor | Leila Hajibabai Dizaji, Chair | |
dc.contributor.advisor | Michael Kay, Member | |
dc.contributor.advisor | Russell King, Member | |
dc.contributor.advisor | Ali Hajbabaie, Minor | |
dc.contributor.author | Niwunhella, Dona Hiruni Hansinie | |
dc.date.accepted | 2023-05-22 | |
dc.date.accessioned | 2023-05-23T12:30:27Z | |
dc.date.available | 2023-05-23T12:30:27Z | |
dc.date.defense | 2023-04-24 | |
dc.date.issued | 2023-04-24 | |
dc.date.released | 2023-05-23 | |
dc.date.reviewed | 2023-05-10 | |
dc.date.submitted | 2023-04-30 | |
dc.degree.discipline | Industrial Engineering | |
dc.degree.level | thesis | |
dc.degree.name | Master of Science | |
dc.identifier.other | deg33363 | |
dc.identifier.uri | https://www.lib.ncsu.edu/resolver/1840.20/40959 | |
dc.title | Incident Hotspots Prediction in North Carolina for Effective Incident Management using Deep Learning Techniques. |
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