UAV Detection and Classification Using Radar, Radio Frequency, and Machine Learning Techniques

Simple item page
dc.contributor.advisorIsmail Guvenc, Chair
dc.contributor.advisorHuaiyu Dai, Member
dc.contributor.advisorJacob Adams, Member
dc.contributor.advisorMuhammad Shahzad, Member
dc.contributor.authorEzuma, Martins Chidozie
dc.date.accepted2022-04-14
dc.date.accessioned2022-04-15T12:30:34Z
dc.date.available2022-04-15T12:30:34Z
dc.date.defense2022-01-04
dc.date.issued2022-01-04
dc.date.released2022-04-15
dc.date.reviewed2022-01-12
dc.date.submitted2022-01-07
dc.degree.disciplineElectrical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg28200
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39550
dc.titleUAV Detection and Classification Using Radar, Radio Frequency, and Machine Learning Techniques

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
etd.pdf
Size:
13.7 MB
Format:
Adobe Portable Document Format
Download

Collections

Dissertations