Marcelo Cardoso

According to our database, Marcelo Cardoso authored at least 8 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Dynamic mathematical modelling and simulation of a primary oil separation unit.

María E. G. Condori, Lucio F. D. Passos, Hugo C. C. Michel, Gustavo M. de Almeida, Marcelo Cardoso

Int. J. Simul. Process. Model., 2023

2022

Heat-loss cycle prediction in steelmaking plants through artificial neural network.

Iara Campolina Dias Duarte, Gustavo Matheus de Almeida, Marcelo Cardoso

J. Oper. Res. Soc., 2022

2020

Managing Data Lineage of O&G Machine Learning Models: The Sweet Spot for Shale Use Case.

Raphael Thiago, Renan Souza, Leonardo Azevedo, Eduardo E. M. Soares, Rodrigo C. M. Santos, Wallas Henrique S. dos Santos, Maximilien de Bayser, Marcelo Cardoso, Márcio Ferreira Moreno, Renato Cerqueira

CoRR, 2020

Cycle Orchestrator: A Knowledge-Based Approach for Structuring Cyclic ML Pipelines in the O&G Industry.

Rafael Brandão, Vítor Lourenço, Marcelo Machado, Leonardo Azevedo, Marcelo Cardoso, Renan Souza, Guilherme Lima, Renato Cerqueira, Márcio Ferreira Moreno

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

A Knowledge-Based Approach for Structuring Cyclic Workflows.

Rafael Brandão, Vítor Lourenço, Marcelo Machado, Leonardo Azevedo, Marcelo Cardoso, Renan Souza, Guilherme Lima, Renato Cerqueira, Márcio Ferreira Moreno

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

2016

Trend modelling with artificial neural networks. Case study: Operating zones identification for higher SO₃ incorporation in cement clinker.

R. N. Lima, Gustavo Matheus de Almeida, Antônio P. Braga, Marcelo Cardoso

Eng. Appl. Artif. Intell., 2016

2010

Graphical Representation of Cause-Effect Relationships among Chemical Process Variables Using a Neural Network Approach.

Gustavo Matheus de Almeida, Marcelo Cardoso, Danilo C. Rena, Song Won Park

Int. J. Comput. Intell. Appl., 2010

1998

Analise da unidade de recuperação do licor negro de eucalipto no processo "Kraft", avaliando alternativas de processamento.

Marcelo Cardoso

PhD thesis, 1998