Skip to main content
King Abdullah University of Science and Technology
Cyber Security and Resilience Community
Cyber Security and Resilience Community
  • People
    • Faculty
    • Research Scientists
    • Postdoctoral Fellows
    • All People
  • Research Groups
    • Cyber Security and Resilience Technology (CyberSaR)
    • Roberto Di Pietro Research Group (R-Pietro)
    • Security Research Bearing Experimental Results (SeRBER)
  • Research Strategy

signal

Faster prediction of wireless downtime

1 min read · Sat, Jul 2 2016

News

applied mathematics computational science signal processing Computer science

An efficient simulation scheme that hones in on the rarest elements in a dataset can help predict capacity exceedances in wireless networks.

Cyber Security and Resilience Community (CriSys)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice