163 citations · 214 across the 7 of their papers we have counts for
3 papers · 1 filter
Machine learning in acoustics: theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer +4
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transforma…
Sound source ranging using a feed-forward neural network with fitting-based early stopping
Jing Chi, Xiaolei Li, Haozhong Wang +2
When a feed-forward neural network (FNN) is trained for source ranging in an ocean waveguide, it is difficult evaluating the range accuracy of the FNN on unlabeled test data. A fit…
Deep-learning source localization using multi-frequency magnitude-only data
Haiqiang Niu, Zaixiao Gong, Emma Ozanich +3
A deep learning approach based on big data is proposed to locate broadband acoustic sources using a single hydrophone in ocean waveguides with uncertain bottom parameters. Several…