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Filtering by: Creator Al-Amri, Abdullah M. Remove constraint Creator: Al-Amri, Abdullah M. Academic Affiliation Fisheries and Wildlife Remove constraint Academic Affiliation: Fisheries and Wildlife Degree Name Bachelor of Science (B.S.) Remove constraint Degree Name: Bachelor of Science (B.S.) Resource Type Presentation Remove constraint Resource Type: Presentation

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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:
    Macroalgal Domination RegimeFigure 2. Smith et al. 2016, Coral Domination Regime It works