You are previewing International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) Volume 3, Issue 2.
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International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) Volume 3, Issue 2

Book Description

The International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) publishes cutting-edge research on monitoring and surveillance technologies. The journal combines multiple disciplines—including engineering, medicine, biology, and computer science—to solve complex problems. As such, the journal promotes hybrid solutions for healthcare, safety, and privacy.

This issue contains the following articles:

  • Contextual Reasoning under Uncertainty in Sensor Data Stream Monitoring
  • Efficient Key Frame Selection Approach for Object Detection in Wide Area Surveillance Applications
  • Intrusion Detection Using Deep Belief Network and Extreme Learning Machine
  • A Perceptual Computing based Gesture Controlled Quadcopter for Visual Tracking and Transportation
  • Design and Performance Evaluation of the SCAN Secure Processor