New tech could help reduce ecological impact of underwater noise pollution
Published: 25 January 2024
In a new paper published in the journal Physics of Fluids, the researchers describe how they built and tested their acoustic wave modelling system using a neural network architecture known as a convolutional recurrent autoencoder network, or CRAN. Dr Wrik Mallik (JWSE) is the paper’s corresponding author. He said: “These are really encouraging results, which clearly show the potential deep neural networks hold for predicting the complex physics of underwater ocean acoustic propagation.