Search Constraints

Start Over
Filtering by: Alternative title ssim Temporal Distribution of Fish Vocalizations in American Samoa Using Machine Learning Remove constraint Alternative title ssim: Temporal Distribution of Fish Vocalizations in American Samoa Using Machine Learning

Search Results

  • 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:
    Temporal Distribution of Fish Vocalizations in American Samoa Using

  • Methods for cost-sensitive learning

    Creator:
    Margineantu, Dragos D.
    Abstract:
    Many approaches for achieving intelligent behavior of automated (computer) systems involve components that learn from past experience. This dissertation studies computational methods for learning from examples, for classification and for decision making, when the decisions have different non-zero costs associated with them. Many practical applications of learning algorithms, including transaction...
    Resource Type:
    Dissertation
    Full Text:
    performs best in all domains. 3 Supervised learning is the subarea of machine learning that studies

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    in machine learning have made these new types of applications possible, but the widespread use of

  • Emerging Technologies in Fisheries Science: A Transdisciplinary Report

    Creator:
    Firl, Alrik, Haven, Katlyn, and Newton, Samm
    Abstract:
    The Pacific Coast Groundfish Fishery harvests a diverse and large grouping of fishes, but it did not become heavily fished until around WWII. This makes the groundfish fishery a comparatively young fishery. Despite its youth, it is one of the largest and most lucrative fisheries in Oregon—with a current harvest...
    Resource Type:
    Research Paper
    Full Text:
    created in the video greatly complicated efforts to analyze the data using any type of machine learning

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on July 16, 2021. Title: Machine Learning

  • Second nature : domestication as experiment and metaphor in 20th century American psychobiology

    Creator:
    Blanchard, Nicholas
    Abstract:
    By 1900 domestication was a promising, if somewhat vexed, subject in biology. Volumes had been written about domestication, but little serious scientific inquiry was directed toward the phenomenon. Expertise lay with practical men, primarily breeders and fanciers. The bulk of scientific commentary on domestication came from anthropologists who derived theories...
    Resource Type:
    Dissertation
    Full Text:
    ……………………………….………………………………....214 Section III: Beasts and the Burden of Metaphor: Domestication in American Psychobiology to

  • Ecology and Distribution of Blue Whales in New Zealand Across Spatial and Temporal Scales

    Creator:
    Barlow, Dawn R.
    Abstract:
    The distribution of mobile marine predators often reflects underlying dynamic ecological processes. The geographical focus of this PhD is the South Taranaki Bight (STB) of New Zealand, where wind-driven coastal upwelling generates productivity and prey to support a blue whale foraging ground. The STB is also New Zealand’s most industrial...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Ecology and Distribution of Blue Whales in New Zealand Across Spatial and Temporal Scales

  • An analysis of water resource conflict and cooperation in Oregon between 1990 and 2004

    Creator:
    Fesler, Kristel J.
    Abstract:
    This research provides details of water resource conflict and cooperation in Oregon between 1990 and 2004 by using an event database methodology. Events were concentrated in four of 18 basins. No basin accounted for more that 25% of the total water rights events, the most evenly distributed issue type. Overall...
    Resource Type:
    Masters Thesis
    Full Text:
    ....................................46 TEMPORAL DISTRIBUTION OF EVENTS

  • Improving the accuracy and efficiency of bird song analysis with machine learning based event detection

    Creator:
    Mathew, Anju
    Abstract:
    Ornithology is an exciting field with novel research emerging everyday. Researchers in bioacoustics often spend hours within the wilderness recording bird calls to analyze later in their lab. The burden of sifting through hours of audio recordings from the field continues to remain a time-consuming and manual task, despite the...
    Resource Type:
    Honors College Thesis
    Full Text:
    field recordings. In this thesis, we focus on the integration of future machine learning algorithms into

  • Bridging Data and Theory: Developing Physics Informed Machine Learning for Snow Hydrology

    Creator:
    Steele, Hannah
    Abstract:
    Snow is a critical component of global climate regulation and provides water resources to over one billion people worldwide. Yet current measurement methods and modeling techniques lack the ability to fully capture snow characteristics such as snow water equivalent (SWE), snow depth, and density variable landscapes. In recent years, the...
    Resource Type:
    Masters Thesis
    Full Text:
    reviews of its utility in the natural sciences (Fleming et. al., 2021). Machine learning approaches aim