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

Bibliographic Details
Main Author: Roxas, Ricardo II M. (Author)
Other Authors: Pilario, Karl Ezra S. (adviser.)
Format: Thesis
Language:English
Published: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Subjects:
Machine learning.
Two-phase flow.
Wavelets.
Online Access:Abstract