Physics-based Data Augmentation for Machine Learning (ML) Models
This grant opportunity seeks the development of a tool to create realistic synthetic sonar data for training AI/ML algorithms.
Phase I: Focuses on designing a concept to produce synthetic sonar sequences. Feasibility is determined through modeling and analysis. An optional part may include creating initial design specifications to build a prototype in Phase II…
Develop a tool to synthesize realistic physics-based sonar data for use in training Artificial Intelligence/Machine Learning (AI/ML) algorithms to enable rapid approaches to fielding sonar-oriented AI/ML capabilities.
Phase I
Develop a concept for a tool to produce realistic synt…
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