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L. Verdes-Montenegro

3 papers hereh-index 12 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • astro-ph.GA1
same name
  • L. Verdes-Montenegro — 15 papers, h 4
  • L. Verdes-Montenegro — 4 papers, h 1
  • L. Verdes-Montenegro — 3 papers, h 30

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedBringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.DC2026

Bringing Computation to the data: Interoperable serverless function execution for astrophysical data analysis in the SRCNet

Manuel Parra-Royón, Julián Garrido-Sánchez, Susana Sánchez-Expósito +10

Serverless computing is a paradigm in which the underlying infrastructure is fully managed by the provider, enabling applications and services to be executed with elastic resource…

cs.DC2026★ 1 cited

Bringing computation to the data: A MOEA-driven approach for optimising data processing in the context of the SKA and SRCNet

Manuel Parra-Royón, Álvaro Rodríguez-Gallardo, Susana Sánchez-Expósito +6

The Square Kilometre Array (SKA) will generate unprecedented data volumes, making efficient data processing a critical challenge. Within this context, the SKA Regional Centres Netw…

astro-ph.GA2025

Classification of HI Galaxy Profiles Using Unsupervised Learning and Convolutional Neural Networks: A Comparative Analysis and Methodological Cases of Studies

Gabriel Jaimes-Illanes, Manuel Parra-Royon, Laura Darriba-Pol +5

Hydrogen, the most abundant element in the universe, is crucial for understanding galaxy formation and evolution. The 21 cm neutral atomic hydrogen - HI spectral line maps the gas…

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