most citedPrediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

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

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2 papers

stat.ML2021★ 1 cited

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

Rodolfo S. M. Freitas, Ágatha P. F. Lima, Cheng Chen +3

Accurate determination of fuel properties of complex mixtures over a wide range of pressure and temperature conditions is essential to utilizing alternative fuels. The present work…

physics.comp-ph2020

An encoder-decoder deep surrogate for reverse time migration in seismic imaging under uncertainty

Rodolfo S. M. Freitas, Carlos H. S. Barbosa, Gabriel M. Guerra +2

Seismic imaging faces challenges due to the presence of several uncertainty sources. Uncertainties exist in data measurements, source positioning, and subsurface geophysical proper…