Session | ||||||
S1-11: Machine Learning and Multiphase flows
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Presentations | ||||||
10:30am - 10:50am
Subcooled-boiling detection by data-driven acoustic diagnosis 1Tokyo University of Science, Japan; 2Japan Atomic Energy Agency, Japan
10:50am - 11:10am
Deep Learning-Based Imaging Methods for Comprehensive Characterization of Bubbly Flows through PIV Images SINMEC Lab, Mechanical Engineering Department, Federal University of Santa Catarina - UFSC, Florianopolis - SC, Brazil
11:10am - 11:30am
Flow Pattern Identification for Vertical Liquid-Gas Flow Using Image Classification University of Oklahoma, United States of America
11:30am - 11:50am
Deep learning-based image segmentation for two-phase flows 1Pontifical Catholic University of Rio de Janeiro, Brazil; 2Pontifical Catholic University of Parana, Brazil
11:50am - 12:10pm
3DBubbles: an experimental dataset for model training and validation 1Institute of Process Engineering, Chinese Academy of Sciences, China, People's Republic of; 2School of Chemical Engineering, University of Chinese Academy of Sciences
12:10pm - 12:30pm
Automated Flow Regime Classification using Non-Intrusive Sensor Lab or Field Data Institute for Energy Technology, Norway
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