Machine learning applications to predict two-phase flow patterns

Machine learning applications to predict two-phase flow patterns

Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems. This work presents the performance of different artificial intelligence models to classify two-phase flow patterns, showing the best alternat...

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Autores principales: Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Frank Florez, Nicolas Murcia-Orjuela, Cristhian Eduardo Diaz-Ortega, Simon Orozco-Arias, Melissa delaPava, Mario Alejandro Bravo-Ortíz, Melvin Robinson, Pablo Guillen-Rondon, Reinel Tabares-Soto
Formato: article
Lenguaje:EN
Publicado: PeerJ Inc. 2021
Materias:
Flow patterns classification
Machine learning
Deep learning
Extra trees
Feature extraction
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/e1d8468b25c0456492404d1fa7d1a9e8
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https://doaj.org/article/e1d8468b25c0456492404d1fa7d1a9e8

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