AI KRegression by CHIN-CHENG CHU (20718575)

MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

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Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

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Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

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ABM NetLogo File. by Alexandra M. Campbell (3284094)

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Flow diagram representing bromeliad death by overcrowding within the Bromeliad-death procedure. by Alexandra M. Campbell (3284094)

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Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

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PRCC values (with <i>p</i>-values in parentheses) for the median final population size and difference in mean MSI at the final time, without weevil predation and with weevil predat... by Alexandra M. Campbell (3284094)

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Estimated parameters for distribution of basal area. by Alexandra M. Campbell (3284094)

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Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

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Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

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MRSP Tree Host Data. by Alexandra M. Campbell (3284094)

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Distribution of population at final time (left) and change in mean MSI at final time (right) from simulations across 1000 parameter sets when weevils are absent (red) and with weev... by Alexandra M. Campbell (3284094)

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<i>Tillandsia utriculata</i> death rate data by size class. by Alexandra M. Campbell (3284094)

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Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

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Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... by Alexandra M. Campbell (3284094)

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Parameter sets generated through Latin hypercube sampling. by Alexandra M. Campbell (3284094)

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Each square gives extinction probability p (AB) or median population change d (CD) for 100 simulations at . by Alexandra M. Campbell (3284094)

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Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

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A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…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. …”