CLOSTRA INC

Redacted

Hidden MATH is a mobile application which uses Human Movement Networks (HumaNets) principles to deliver sensitive messages off-the-grid, using radio frequency (RF) and non-RF smartphone communications ...

The capability of senior leaders to fully grasp the common operating picture in a distant ground control station cannot be conveyed in one or two dimensions, particularly in situations where operators ...

Traditional deep learning (DL) classifiers often ignore contextual data, limiting complex threat scenario analysis. A new approach, incorporating a wide range of contextual data, is needed to improve ...

Redacted

Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable:  beat humans at complex image recognition skills, safely pilot cars over c ...

An artificial intelligence, machine learning approach is applied to automatically and rapidly generate immersive training material from 2D video and image capture. Several small proofs of concept gene ...

Clostra proposes to create a tool which will allow instructors or content developers to select 2D videos with which neural networks can create 3D immersive content. This tool will also permit instruct ...

Current knowledge and experience in connection with potential conflict scenarios involving Unmanned Air Systems (UAS) is limited. There exists little or no data to inform us how to respond even to sit ...

Network operators, both within and without the Federal Government, gather a large amount of data about their networks using sophisticated collection tools. In particular, the Department of Energy oper ...