CUAS Data : The Hardest Part – Collection, Organization, and Validation

By David Kovar URSA GIGO – Garbage In, Garbage Out. If your raw data is flawed there is little hope for meaningful analysis. If your data is questionable then your analysts will be forced to spend unplanned resources tracking down and then correcting or working around bad data If your data is poorly organized then […]

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