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

Bibliografske podrobnosti
Glavni avtor: Roxas, Ricardo II M. (Author)
Drugi avtorji: Pilario, Karl Ezra S. (adviser.)
Format: Thesis
Jezik:English
Izdano: Quezon City College of Engineering, University of the Philippines Diliman 2022.
Teme:
Machine learning.
Two-phase flow.
Wavelets.
Online dostop:Abstract