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Barbara Cunha

3 papers hereh-index 5205 citations8 works total

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

author position
  • first author2
  • middle author1

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

fields
  • cs.LG1
  • cs.SD1
  • math.DS1

identity via Semantic Scholar / OpenAlex

most citedA Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

149 citations · 174 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2022★ 1 cited

On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations

Barbara Cunha, Abdel-Malek Zine, Mohamed Ichchou +2

Surrogate models are data-based approximations of computationally expensive simulations that enable efficient exploration of the model's design space and informed decision-making i…

cs.LG2022★ 149 cited

A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic

Barbara Cunha, Christophe Droz, Abdelmalek Zine +2

The use of Machine Learning (ML) has rapidly spread across several fields, having encountered many applications in Structural Dynamics and Vibroacoustic (SD\&V). The increasing cap…

math.DS2021★ 24 cited

A model-based technique to identify lubrication condition of hydrodynamic bearings using the rotor vibrational response

Marcus Vinícius Medeiros Oliveira, Barbara Zaparoli Cunha, Gregory Bregion Daniel

Faults related to hydrodynamic bearing can imply in high maintenance costs when late-detected and even to the total shutdown of the system. Thus, techniques of early fault diagnosi…

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