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Emma Ozanich

4 papers hereh-index 9978 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.SP1
  • physics.ao-ph1
  • physics.geo-ph1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedMachine learning in acoustics: theory and applications

574 citations · 784 across the 4 of their papers we have counts for

collaborators
Showing physics.ao-phShow all

1 paper · 1 filter

physics.ao-ph2019★ 163 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.