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Computer Vision-Based Classification of Flow Regime and Vapor Quality in Vertical Two-Phase Flow
This paper presents a method to classify flow regime and vapor quality in vertical two-phase (vapor-liquid) flow, using a video of the flow as the input; this represents the first high-performing and entirely camera image-based method for the classification of a vertical flow regime (which is effect...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.3390/s22030996 http://cds.cern.ch/record/2801562 |
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