Identification of western North Atlantic odontocete echolocation click types using machine learning and spatiotemporal correlates

A combination of machine learning and expert analyst review was used to detect odontocete echolocation clicks, identify dominant click types, and classify clicks in 32 years of acoustic data collected at 11 autonomous monitoring sites in the western North Atlantic between 2016 and 2019. Previously-d...

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Detalles Bibliográficos
Autores principales: Cohen, Rebecca E., Frasier, Kaitlin E., Baumann-Pickering, Simone, Wiggins, Sean M., Rafter, Macey A., Baggett, Lauren M., Hildebrand, John A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946748/
https://www.ncbi.nlm.nih.gov/pubmed/35324943
http://dx.doi.org/10.1371/journal.pone.0264988

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946748/
https://www.ncbi.nlm.nih.gov/pubmed/35324943
http://dx.doi.org/10.1371/journal.pone.0264988

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