Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks

Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks

A Master of Science thesis in Electrical Engineering by Mohammad Suhail Abdulwahid Abdulrahman Alawar entitled, “Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks”, submitted in December 2019. Thesis advisor is Dr. Usman Tariq and thesis co-advisors are Dr. Nasser Qaddoumi and Dr. Ha...

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Bibliographic Details
Main Author: Alawar, Mohammad Suhail Abdulwahid Abdulrahman (author)
Format: doctoralThesis
Published: 2019
Subjects:
X-ray
Image Recognition
3D Printed Threats
Deep-Learning
Threat Image Projection
Online Access:http://hdl.handle.net/11073/16583
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Summary:A Master of Science thesis in Electrical Engineering by Mohammad Suhail Abdulwahid Abdulrahman Alawar entitled, “Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks”, submitted in December 2019. Thesis advisor is Dr. Usman Tariq and thesis co-advisors are Dr. Nasser Qaddoumi and Dr. Hasan Mir. Soft copy is available (Thesis, Approval Signatures, Completion Certificate, and AUS Archives Consent Form).

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