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Showing 1 - 20 results of 53 for search '(( tree small decrease ) OR ( ai ((larger decrease) OR (marked decrease)) ))', query time: 0.32s Refine Results
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”
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    National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Hawaii by U.S. Forest Service (17476914)

    Published 2025
    “…A small interannual change is defined as a TCC change less than an increase or decrease of 10 percent compared to a TCC baseline value. …”
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    National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Southeast Alaska by U.S. Forest Service (17476914)

    Published 2025
    “…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”
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    National Land Cover Database (NLCD) Tree Canopy Cover (TCC) Puerto Rico USVI by U.S. Forest Service (17476914)

    Published 2025
    “…The NCLD data are processed to remove small interannual changes from the annual TCC timeseries, and to mask TCC pixels that are known to be 0 percent TCC, non-tree agriculture, and water. …”
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