Comparative performance of machine-learning and deep-learning algorithms in predicting gas-liquidflow regimes

HIGHLIGHTS

• who: Noor Hafsa and collaborators from the Department of Computer Science, College of Computer Science and Information Technology, King Faisal University, Al-Ahsa, Saudi Arabia have published the article: Comparative Performance of Machine-Learning and Deep-Learning Algorithms in Predicting Gas-LiquidFlow Regimes, in the : Processes 2023, 11, 177. of /2023/
• what: The authors focused in this study on a thorough analysis of machine learning (ML) and deep learning (DL) in predicting the with the application of a diverse set of ML and DL frameworks to a database comprising 11 837 data points which were . . .
  

   

  

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