Building a Replicable Machine Learning Model for Data Analysis of AEGIS System

Virtualitics proposes to conduct R&D which will demonstrate that by training on simulation results, we could create a machine learning (ML) model that can replicate the outcomes of systems This will be accomplished first by creating and implementing a data transformer to transform the data into the required format for use in the model through the use of convolutional neural networks (CNNs) to process image data, including from various electro optical/infrared (EO/IR) sensors. Once the initial machine learning model is created, the infrastructure can be easily adapted to handle an increase in data volume with the flexibility to quickly incorporate additional sensor streams. Approved for Public Release | 21-MDA-11013 (19 Nov 21)