Incident Hotspots Prediction in North Carolina for Effective Incident Management using Deep Learning Techniques.

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dc.contributor.advisorLeila Hajibabai Dizaji, Chair
dc.contributor.advisorMichael Kay, Member
dc.contributor.advisorRussell King, Member
dc.contributor.advisorAli Hajbabaie, Minor
dc.contributor.authorNiwunhella, Dona Hiruni Hansinie
dc.date.accepted2023-05-22
dc.date.accessioned2023-05-23T12:30:27Z
dc.date.available2023-05-23T12:30:27Z
dc.date.defense2023-04-24
dc.date.issued2023-04-24
dc.date.released2023-05-23
dc.date.reviewed2023-05-10
dc.date.submitted2023-04-30
dc.degree.disciplineIndustrial Engineering
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Industrial Engineering.
dc.formatM.S. North Carolina State University, 2023.
dc.identifier.otherdeg33363
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/40959
dc.titleIncident Hotspots Prediction in North Carolina for Effective Incident Management using Deep Learning Techniques.
dcterms.extent1 online resource (ix, 59 pages) : illustrations (some color), color maps

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