Application of Supervised Machine Learning Techniques for the Prediction of Pressure Drop and Void Fraction in Gas–Liquid Two-Phase Flow in Horizontal Pipelines.  Transactions on Artificial Intelligence, Machine Learning, and Cognitive Systems, [S. l.], v. 10, n. 8, p. 1–17, 2025. Disponível em: https://fourierstudies.com/index.php/TAIMLCS/article/view/2025-08-04. Acesso em: 15 dec. 2025.