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Filtering by: Has journal Environmental Science & Technology Remove constraint Has journal: Environmental Science & Technology Degree Name Bachelor of Science (B.S.) Remove constraint Degree Name: Bachelor of Science (B.S.) License Attribution 4.0 (CC BY 4.0) Remove constraint License: Attribution 4.0 (CC BY 4.0) Subject Machine learning Remove constraint Subject: Machine learning

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  • Detecting Fish Vocalizations in American Samoa Using Machine Learning

    Creator:
    Munger, Jill
    Abstract:
    A deep neural network was developed and trained to identify the sounds of pomacentrids (damselfishes) in the National Park of American Samoa. Four years of continuous, passive acoustic data were recorded by a single stationary hydrophone. Deep neural networks enable the full utilization of such large datasets by automating laborious...
    Resource Type:
    Presentation
    Full Text:
    diver, and I'm fascinated with how fish communicate with each other. Advances in acoustical science