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Conference object . 2025
License: CC BY
Data sources: ZENODO
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Efficient Direction-of-Arrival Estimation via Model-based Machine Learning

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 20 Nov 2025Publisher:Zenodo
Authors: Raza, Ali;

doi: 10.5281/zenodo.18400502 , 10.5281/zenodo.18400503

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

Abstract

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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