Return to search

An Autonomous Machine Learning Approach for Global Terrorist Recognition

ITC/USA 2012 Conference Proceedings / The Forty-Eighth Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2012 / Town and Country Resort & Convention Center, San Diego, California / A major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/581675
Date10 1900
CreatorsHill, Jerry L., Mora, Randall P.
ContributorsAvum, Inc.
PublisherInternational Foundation for Telemetering
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Proceedings
RightsCopyright © held by the author; distribution rights International Foundation for Telemetering
Relationhttp://www.telemetry.org/

Page generated in 0.0019 seconds