Efficient Direction-of-Arrival Estimation via Model-based Machine Learning

This record contains the abstract presented at the IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN 2025). The work forms part of the author’s ongoing doctoral research and is included as a component of the PhD thesis. The upload is intended to ensure open accessibility and proper academic documentation of the presented research contribution.