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Disambiguation of "de Souza Serapião, Adriane Beatriz"

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A Genetic Neuro-Model Reference Adaptive Controller for Petroleum Wells Drilling Operations.

, , , and . CIMCA/IAWTIC, page 3. IEEE Computer Society, (2006)

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Philippe De Souza

Ana Leticia /de Souza Vanz

Gustavo Henrique de Souza Dias

João Batista Souza de Oliveira

Pedro De Souza Rocha Simonini

 

Other publications of authors with the same name

An Ontology Based for Drilling Report Classification., , , and . MICAI, volume 4293 of Lecture Notes in Computer Science, page 1037-1046. Springer, (2006)Classification of Petroleum Well Drilling Operations Using Support Vector Machine (SVM)., , , and . CIMCA/IAWTIC, page 145. IEEE Computer Society, (2006)Analise estatistica da atividade cerebral em eventos relacionados a jogos cognitivos.. University of Campinas, Brazil, (2001)ndltd.org (oai:agregador.ibict.br.RI_UNICAMP:oai:repositorio.unicamp.br:REPOSIP/313972).Application of arx neural networks to model the rate of penetration of petroleum wells drilling., , , and . Computational Intelligence, page 156-161. IASTED/ACTA Press, (2006)Classification of Petroleum Well Drilling Operations with a Hybrid Particle Swarm/Ant Colony Algorithm., and . IEA/AIE, volume 5579 of Lecture Notes in Computer Science, page 301-310. Springer, (2009)Artificial Immune Systems for Classification of Petroleum Well Drilling Operations., , and . ICARIS, volume 4628 of Lecture Notes in Computer Science, page 47-58. Springer, (2007)Decision-Making Tool for Knowledge-Based Projects in Offshore Production Systems., , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 692-701. Springer, (2012)A Genetic Neuro-Model Reference Adaptive Controller for Petroleum Wells Drilling Operations., , , and . CIMCA/IAWTIC, page 3. IEEE Computer Society, (2006)Integrating Activities with Neurofuzzy Distributed Systems., and . Fuzzy Logic in Artificial Intelligence, volume 1188 of Lecture Notes in Computer Science, page 14-28. Springer, (1995)Applying computational intelligence methods to modeling and predicting common bean germination rates., , , , , , , and . IJCNN, page 658-662. IEEE, (2014)