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Renato L. G. Cavalvante

1 paper here

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

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  • eess.SP1

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collaborators

1 paper

eess.SP2021

Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps

M. A. Gutierrez-Estevez, Martin Kasparick, Renato L. G. Cavalvante +1

Learning any-to-any (A2A) path loss maps, where the objective is the reconstruction of path loss between any two given points in a map, might be a key enabler for many applications…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.