Big Multi-Aspect Data Mining via Scalable and Incremental Tensor Decompositions and Applications to Social Network Analysis

Abstract

Early detection of chemical warfare agents and toxic industrial materials is critical for force protection in the battlefield. We will develop a novel nano gas sensor array to enable dismounted warfighters to accurately identify such substances in their environment. The proposed research efforts will be tightly integrated with education tasks for one Ph.D. and five undergraduate students who will design, fabricate, and test the sensor arrays; and develop software and supporting hardware.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 09, 2018
Source ID
N001741710005

Entities

People

  • Vagelis Papalexakis

Organizations

  • United States Navy
  • University of California, Riverside

Tags

Readers

  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Neural Network Machine Learning.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy