The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.
SBC: Coprime Topic: N/A
"Coprime proposes to investigate the applicability of learning-based source separation methodologies to the problem of multiple targets in a complex acoustic environment. The Phase I effort will focus on identifying viable learning-based source separationalgorithms specifically tuned to the multiple combat vehicle scenario. A prototype architecture will be developed and numerical software rapidly ...SBIR Phase I 2002 Department of DefenseArmy
SBC: J.k. Research Topic: N/A
N/ASBIR Phase I 1993 Department of DefenseArmy
Develop Enironmental Monitoring Capability for Intergrating Recent Technological Advancements into a Hybrid Artificial Neural Network SystemSBC: SYSTEMS ENGINEERING ASSOCIATES CORPORATION Topic: N/A
We propose to develop an Environmental Monitoring System by integrating various technologies to create a hybrid artificial neural network system. By functionally decomposing the requirements of environmental monitoring we can apply emerging technologies to fulfill these modularized requirements. Ten (10) years of experience indicate that the technologies directly applicable to specific requirement ...SBIR Phase I 1993 Department of DefenseArmy