Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks

  • Siavash Hosseini
  • , Abdullah M. Iliyasu
  • , Thangarajah Akilan
  • , Ahmed S. Salama
  • , Ehsan Eftekhari-Zadeh
  • , Kaoru Hirota

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Fingerprint

Dive into the research topics of 'Accurate Flow Regime Classification and Void Fraction Measurement in Two-Phase Flowmeters Using Frequency-Domain Feature Extraction and Neural Networks'. Together they form a unique fingerprint.

Engineering