The use of high-frequency cameras is a fundamental tool in the study of two-phase fluids such as sprays and droplet behaviour. This paper presents the development of a neural network based on different interpolation criteria to classify images, extract contours and define geometric features in the presence of noise.
(2026). Development of a neural network for determining the behavior of two-phase fluids: the case of sprays and drops [abstract]. Retrieved from https://hdl.handle.net/10446/328265 Retrieved from http://dx.doi.org/10.13122/DIPSI2025_8
Development of a neural network for determining the behavior of two-phase fluids: the case of sprays and drops
2026-01-01
Abstract
The use of high-frequency cameras is a fundamental tool in the study of two-phase fluids such as sprays and droplet behaviour. This paper presents the development of a neural network based on different interpolation criteria to classify images, extract contours and define geometric features in the presence of noise.File allegato/i alla scheda:
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