publication . Article . 2015

A cloud based architecture capable of perceiving and predicting multiple vessel behaviour

Dimitrios Zissis; Dimitrios Lekkas; Elias K. Xidias;
Open Access
  • Published: 01 Oct 2015
Abstract
We train an Artificial Neural Network (ANN) to predict future vessel's behavior.We study if an ANN is capable of inferring the unique behaviour of a vessel.We design, train and implement a proof of concept ANN as a cloud based web app.The derived ANN has the ability to predict short and long term vessel behaviour. Progressively huge amounts of data, tracking vessels during their voyages across the seas, are becoming available, mostly due to the automatic identification system (AIS) that vessels of specific categories are required to carry. These datasets provide detailed insights into the patterns vessels follow, while safely navigating across the globe, under v...
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free text keywords: Software, Overlay, Machine learning, computer.software_genre, computer, Web application, business.industry, business, Cloud computing, Maritime domain awareness, Artificial neural network, Proof of concept, Artificial intelligence, Computer science, Scheduling (computing), Data mining, Anomaly detection
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