Machine learning based automatic real-time identification of two-phase flow regimes using ultrasonic doppler sensor data

Machine learning based automatic real-time identification of two-phase flow regimes using ultrasonic doppler sensor data

Dettagli Bibliografici
Autore principale: Roxas, Ricardo II M. (Autore)
Altri autori: Pilario, Karl Ezra S. (adviser.)
Natura: Tesi
Lingua:English
Pubblicazione: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Soggetti:
Machine learning.
Two-phase flow.
Wavelets.
Accesso online:Abstract