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Showing 1 to 3 of 3 for “"Spatio-temporal regression"”.

  1. Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data

    … trucks by industry, and (3) estimation of a spatio-temporal regression model to capture rerouting behavior of trucks. </p> <p>First, we developed a K-means unsupervised clustering algorithm to find unique and representative daily activity patterns from GPS data. For a statewide GPS data …

    arkansas Repository record for Truck Activity Pattern Classification Using Anonymous Mobile Sensor Data (opens in a new tab)

  2. Solar power forecasting using Gaussian process regression

    … datapoints. Ve proposed using Gaussian process regression (GPR) to predict solar power generation. In South Africa, studies based on GPR regarding forecasting solar power are still very few, and more needs to be done in this area. At first, we explored covariance function selection, and a GPR …

    venda Repository record for Solar power forecasting using Gaussian process regression (opens in a new tab)

  3. Data-driven Methods for Resting-state fMRI Biomarker Discovery in Mental Illness

    … investigated the effectiveness of two methods, spatio-temporal regression (STR) and group information guided ICA (GIG-ICA), for reconstructing subject-specific networks from fMRI data in schizophrenia patients and controls. We showed that adaptive brain networks exhibit greater sensitivity in …

    gatech Repository record for Data-driven Methods for Resting-state fMRI Biomarker Discovery in Mental Illness (opens in a new tab)