https://www.sciencedaily.com/releases/2018/07/180723152318.htm

"Our goal was to develop a working framework that uses information from a variety of sensors and data sources to identify these potential violations of nuclear nonproliferation," says Hamid Krim, co-author of a paper on the work, a professor of electrical and computer engineering at North Carolina State University and director of the VISSTA Laboratory. "Some of these data may be conventional, such as Geiger counter readings or multispectral data from satellite imagery. But many of these data sources may be nontraditional, such as social media posts. And these sources provide a wide variety of data that are not normally compatible, such as the text included on Twitter posts and the images posted on Flickr.

"By making these different inputs compatible with each other, we are able to accept a broader range of data inputs and use that data in a meaningful way that, ultimately, can help authorities reach more reliable conclusions," Krim says.