Unfolding ais transmission behavior for vessel movement modeling on noisy data leveraging machine learning

HIGHLIGHTS

• who: GABRIEL SPAN et al. from the Institute for Big Data Analytics, Dalhousie University, Halifax, NS, Canada have published the research: Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning, in the Journal: (JOURNAL)
• what: The authors show how convolutional layers feed-forward networks and recurrent neural networks can improve such tasks by working together. This approach has not yet been studied from the perspective of maritime vessel trajectories due to its inherent timing complexity and volume of data in the form of AIS messages. The authors seek a sufficiently . . .
  

   

  

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