One-shot Generative Data Augmentation with Bounded Divergence for UAV Identification in Limited RF Environments

1 code implementation • 20 Jan 2023 • Amir Kazemi, Salar Basiri, Volodymyr Kindratenko, Srinivasa Salapaka

This work addresses the pressing need for cybersecurity in Unmanned Aerial Vehicles (UAVs), particularly focusing on the challenges of identifying UAVs using radiofrequency (RF) fingerprinting in constrained environments.

Data Augmentation

A Novel Maximum-Entropy-Driven Technique for Low-Rank Orthogonal Nonnegative Matrix Factorization with $\ell_0$-Norm sparsity Constraint

1 code implementation • 6 Oct 2022 • Salar Basiri, Srinivasa Salapaka

In data-driven control and machine learning, a common requirement involves breaking down large matrices into smaller, low-rank factors that possess specific levels of sparsity.