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researcher

J. Costa

3 papers hereh-index 14842 citations98 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • physics.geo-ph3
same name
  • J. Costa — 10 papers, h 59
  • J. Costa — 8 papers, h 4
  • J. Costa — 4 papers, h 5
  • J. Costa — 3 papers, h 6
  • J. Costa — 3 papers, h 50
  • J. Costa — 3 papers, h 10

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 citedDeep-pretrained-FWI: combining supervised learning with physics-informed neural network

26 citations · 59 across the 3 of their papers we have counts for

collaborators

3 papers

physics.geo-ph2022★ 26 cited

Deep-pretrained-FWI: combining supervised learning with physics-informed neural network

Ana Paula O. Muller, Clecio R. Bom, Jessé C. Costa +4

An accurate velocity model is essential to make a good seismic image. Conventional methods to perform Velocity Model Building (VMB) tasks rely on inverse methods, which, despite be…

physics.geo-ph2022★ 19 cited

Deep-tomography: iterative velocity model building with deep learning

Ana Paula O. Muller, Clecio R. Bom, Jesse C. Costa +5

The accurate and fast estimation of velocity models is crucial in seismic imaging. Conventional methods, like Tomography and Full-Waveform Inversion (FWI), obtain appropriate veloc…

physics.geo-ph2022★ 14 cited

Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning

Ana Paula O. Muller, Jesse C. Costa, Clecio R. Bom +5

Delimiting salt inclusions from migrated images is a time-consuming activity that relies on highly human-curated analysis and is subject to interpretation errors or limitations of…

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