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Filtering by: Creator Ehrlicher, Sarah E. Remove constraint Creator: Ehrlicher, Sarah E. Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Subject Machine learning Remove constraint Subject: Machine learning

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  • Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

    Creator:
    Hooper, Samuel
    Abstract:
    Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
    Resource Type:
    Masters Thesis
    Full Text:
    Robert E. Kennedy Developing accurate predictive distribution models requires adequately

  • Simultaneous segmentation and classification of bird song using CNN

    Creator:
    Narasimhan, Revathy
    Abstract:
    In bioacoustics, automatic animal voice detection and recognition from audio recordings is an emerging topic for animal preservation. Our research focuses on bird bioacoustics, where the goal is to segment bird syllables from the recording and predict the bird species for the syllables. Traditional methods for this task addresses the...
    Resource Type:
    Masters Thesis
    Full Text:
    like to thank Matthew Betts and Sarah Frey for their help in collecting the bird song recordings and

  • Improving robotic grasping performance using machine learning techniques

    Creator:
    Goins, Alex Keith
    Abstract:
    Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Sarah (b) Shadow (c) iRobot (d) Sandia. 3 2.1 Flow chart of experimental procedure

  • Predictive mapping of landtype association maps in three Oregon national forests

    Creator:
    Peterman, Wendy L.
    Abstract:
    This study explores the use of predictive mapping techniques in developing Landtype Association (LTA) maps for use in natural resource management. These maps are produced for the USDA Forest Service on a regional basis at a 1:100,000 scale. The goal of this study is to develop and test a method...
    Resource Type:
    Masters Thesis
    Full Text:
    and editing this thesis. Many thanks to Sarah Hash, without whose guidance and support, graduate