Search Results - "Kouhestani, Camron G."

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  1. 1

    Physical security assessment with convolutional neural network transfer learning by Stubbs, Jaclynn J., Birch, Gabriel C., Woo, Bryana L., Kouhestani, Camron G.

    “…Deep learning techniques have demonstrated the ability to perform a variety of object recognition tasks using visible imager data; however, deep learning has…”
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    Conference Proceeding
  2. 2

    Counter Unmanned Aerial System Security Education by Stubbs, Jaclynn J., Kouhestani, Camron G., Woo, Bryana L., Birch, Gabriel C.

    “…Unmanned aircraft system (UAS) technologies have gained immense popularity in the commercial sector and have enabled capabilities that were not available just…”
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    Conference Proceeding
  3. 3

    Physical Security Assessment Using Temporal Machine Learning by Galiardi, Meghan A., Verz, Stephen J., Birch, Gabriel C., Stubbs, Jaclynn J., Woo, Bryana L., Kouhestani, Camron G.

    “…Nuisance and false alarms are prevalent in modern physical security systems and often overwhelm the alarm station operators. Deep learning has shown progress…”
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    Conference Proceeding
  4. 4

    Human Factors in Security by Speed, Ann E., Woo, Bryana L., Kouhestani, Camron G., Stubbs, Jaclynn J., Birch, Gabriel C.

    “…Physical security systems (PSS) and humans are inescapably tied in the current physical security paradigm. Yet, physical security system evaluations often end…”
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    Conference Proceeding
  5. 5

    Temporal Frequency Analysis: Target Isolation and Signal Optimization by Stubbs, Jaclynn J., Birch, Gabriel C., Woo, Bryana L., Kouhestani, Camron, Novick, David

    “…Unmanned aircraft systems (UASs) have grown significantly within the private sector with ease of acquisition and platform capabilities far outstretching what…”
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    Conference Proceeding
  6. 6

    Unmanned aerial system detection and assessment through temporal frequency analysis by Woo, Bryana L., Birch, Gabriel C., Stubbs, Jaclynn J., Kouhestani, Camron

    “…There is a desire to detect and assess unmanned aerial systems (UAS) with a high probability of detection and low nuisance alarm rates in numerous fields of…”
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    Conference Proceeding