Search Results for author:
Found 2 papers, 1 papers with code
Deep Neural Networks for Active Wave Breaking Classification
In this paper we present a novel machine learning method to detect active wave breaking, that is, waves that are actively generating visible bubble entrainment in video imagery data.
Atmospheric and Oceanic Physics
Probability distributions for analog-to-target distances
These findings are illustrated with numerical simulations of a well-known chaotic dynamical system and on 10m-wind reanalysis data in north-west France.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
