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A novel RNN architecture to improve the precision of ship trajectory predictions
Published 2025“…However, this model can be time-consuming and can only represent a single vessel track. 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. …”
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Data Sheet 1_Peripheral circular RNAs hsa_circ_0075436 and hsa_circ_0005729 as diagnostic and prognostic biomarkers in acute ischemic stroke: expression profiles and mechanistic in...
Published 2025“…Introduction<p>Circular RNAs (circRNAs) are a class of stable, conserved, and tissue-specific non-coding RNAs that have shown potential as diagnostic and prognostic biomarkers in acute ischemic stroke (AIS). …”