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Anselmo Antunes Montenegro

Universidade Federal Fluminense

SCHOLARLY PAPERS

2

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149

TOTAL CITATIONS

0

Scholarly Papers (2)

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1.

Gaussian Environment Mapping

Downloads 61 (488,442)

Gaussian Environment Mapping

Number of pages: 12 Posted: 21 Nov 2024
Alan de Oliveira Silva Lenk, Horácio Brescia Macêdo Henriques, Esteban Clua, Anselmo Antunes Montenegro and Thiago Malheiros Porcino
affiliation not provided to SSRN, Universidade Federal Fluminense, Universidade Federal Fluminense, Universidade Federal Fluminense and affiliation not provided to SSRN
Downloads 61 (966,800)

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Environment Mapping, Gaussian Splatting, Global Illumination

2.

Neural Networks Applied to the Prediction of Geotechnical Data from Seismic Attributes

Downloads 88 (753,595)

Neural Networks Applied to the Prediction of Geotechnical Data from Seismic Attributes

Number of pages: 28 Posted: 06 Mar 2023
EDUARDO CHARLES VASCONCELLOS, Anselmo Antunes Montenegro, Arthur Ayres Neto, Claudio Gino Gallea, Esteban Clua, Mauro Biondi, Fabiana Rodrigues Leta and Lucio Flavio Rocha Carvalho
affiliation not provided to SSRN, Universidade Federal Fluminense, Universidade Federal Fluminense, affiliation not provided to SSRN, Universidade Federal Fluminense, affiliation not provided to SSRN, affiliation not provided to SSRN and Petrobras
Downloads 55 (1,027,773)

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Machine learning, marine geotechnics, high-resolution seismic, Neural Network, Risk analysis

Neural Networks Applied to the Prediction of Geotechnical Data from Seismic Attributes

Number of pages: 28 Posted: 25 Nov 2023
EDUARDO CHARLES VASCONCELLOS, Anselmo Antunes Montenegro, Arthur Ayres Neto, Claudio Gino Gallea, Esteban Clua, Mauro Biondi, Fabiana Rodrigues Leta and Lucio Flavio Rocha Carvalho
affiliation not provided to SSRN, Universidade Federal Fluminense, Universidade Federal Fluminense, affiliation not provided to SSRN, Universidade Federal Fluminense, affiliation not provided to SSRN, affiliation not provided to SSRN and Petrobras
Downloads 33 (1,311,254)

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machine learning, marine geotechnics, high-resolution seismic, Neural network, risk analysis