Elisângela L. Faria

Author

Elisângela L. Faria

Centro Brasileiro de Pesquisas Físicas ORCID

Also Known As

E. L. Faria, E. L. de Faria, E.L. de Faria, Elisangela Faria, Elisangela L Faria, Elisangela L. Faria, Elisangela Lopes FARIA, Elisângela Faria, Elisângela L. Faria, Faria, Elisangela L.

Publications

504

Citations

H-Index

Concepts

All Affiliations

Centro Brasileiro de Pesquisas Físicas Federal Center for Technological Education Celso Suckow da Fonseca Petrobras (Brazil)Universidade Federal do Espírito Santo

About

Elisângela L. Faria is an author at Centro Brasileiro de Pesquisas Físicas specializing in engineering, deep learning, and civil engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	417
2	Civil Engineering	4	4	236
3	Data Science	4	4	331
4	Business	1	1	142
5	Finance	1	1	142

Elisângela L. Faria

Publications

453

Citations

H-Index

Page 1

	Year	Citations
Predicting the Brazilian stock market through neural networks and adaptive exponential smoothing methods Elisângela L. Faria, Marcelo P. de Albuquerque, J.L. González, Expert Systems with Applications Intelligent ForecastingForecasting MethodologyEconomic ForecastingEngineeringAsset Pricing	2009	142
A deep residual convolutional neural network for automatic lithological facies identification in Brazilian pre-salt oilfield wellbore image logs Manuel Blanco Valentín, Clécio R. Bom, Juliana Coelho, Journal of Petroleum Science and Engineering Image ClassificationConvolutional Neural NetworkMachine VisionMachine LearningData Science	2019	86
Automatic detection of fractures and breakouts patterns in acoustic borehole image logs using fast-region convolutional neural networks Luciana Olivia Dias, Clécio R. Bom, Elisângela L. Faria, Journal of Petroleum Science and Engineering Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisData Science	2020	81
Estimation of permeability and effective porosity logs using deep autoencoders in borehole image logs from the brazilian pre-salt carbonate Manuel Blanco Valentín, Clécio R. Bom, André Luiz Martins Compan, Journal of Petroleum Science and Engineering Effective Porosity LogsHydrogeologyPore StructureEngineeringReservoir Characterization	2018	49
Deep pre-trained FWI: where supervised learning meets the physics-informed neural networks Ana Paula Oliveira Muller, Jessé C. Costa, Clécio R. Bom, Geophysical Journal International Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2023	22
Bayesian deep networks for absolute permeability and porosity uncertainty prediction from image borehole logs from brazilian carbonate reservoirs Clécio R. Bom, Manuel Blanco Valentín, B. Fraga, Journal of Petroleum Science and Engineering EngineeringMachine LearningHydrogeophysicsSubsurface HydrologyUncertainty Quantification	2021	20
Lithology identification in carbonate thin section images of the Brazilian pre-salt reservoirs by the computational vision and deep learning Elisângela L. Faria, Juliana Coelho, Thais F. Matos, Computational Geosciences HydrogeologyImage AnalysisComputer VisionLithology IdentificationGeomorphology	2022	17
Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning Ana Paula Oliveira Muller, Jessé C. Costa, Clécio R. Bom, Geophysics	2022	14
Nonadditive Tsallis entropy applied to the Earth’s climate J.L. González, Elisângela L. Faria, Marcelo P. de Albuquerque, Physica A Statistical Mechanics and its Applications	2010	11
Representative elementary volume for<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:mrow><mml:mi>N</mml:mi><mml:mi>M</mml:mi><mml:mi>R</mml:mi></mml:mrow></mml:math>simulations based on X-ray microtomography of sedimentary rock J.L. González, Elisângela L. Faria, Marcelo P. de Albuquerque, Journal of Petroleum Science and Engineering	2018	11

Page 1