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Found 3 papers, 1 papers with code
Estimating the radii of air bubbles in water using passive acoustic monitoring
The study of the acoustic emission of underwater gas bubbles is a subject of both theoretical and applied interest, since it finds an important application in the development of acoustic monitoring tools for detection and quantification of underwater gas leakages.
Applications
Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates
In this work we cast the problem of binary classification in terms of estimating a partition on Bernoulli data.
A machine learning approach for underwater gas leakage detection
Underwater gas reservoirs are used in many situations.
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