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A novel RNN architecture to improve the precision of ship trajectory predictions
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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Grid division diagram.
Published 2025“…The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
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Model calculation diagram.
Published 2025“…The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
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Grid independence verification.
Published 2025“…The decrease is the largest, and sand particles are easy to deposit here in large quantities. …”
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