AI KRegression by CHIN-CHENG CHU (20718575)

Data used to generate Fig 1. by Pattamaporn Kittayapong (289542)

Data used to generate Table 6. by Pattamaporn Kittayapong (289542)

Data used to generate Table 2. by Pattamaporn Kittayapong (289542)

Data used to generate Fig 3. by Pattamaporn Kittayapong (289542)

Data used to generate Fig 5. by Pattamaporn Kittayapong (289542)

Data used to generate Fig 2. by Pattamaporn Kittayapong (289542)

Data used to generate Fig 6. by Pattamaporn Kittayapong (289542)

Data used to generate Fig 4. by Pattamaporn Kittayapong (289542)

Data used to generate Table 5. by Pattamaporn Kittayapong (289542)

Data used to generate Table 3. by Pattamaporn Kittayapong (289542)

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. …”

Presents the bibliometric search results. by Yan She (8639796)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Sexual maturity status of female C57BL/6J Mice at different ages. by Yan She (8639796)

Flow chart of data screening and analysis. by Yan She (8639796)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)

Analysis of the hankyphage DNA ends. by Sol Vendrell-Fernández (10053123)