A Scalable System for Maritime Route and Event Forecasting
Digital twins serve as virtual representations of physical environments that are increasingly valuable across various sectors, including maritime operations. The complexity of monitoring vessel traffic through the Automatic Identification System (AIS), demands more sophisticated, data-driven approaches due to the extreme vessel volume and intricate vessel movement patterns.
Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis - Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta
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Navigating through dense waters: a toolbox for creating maritime density maps
A Big Data framework for Modelling and Simulating high-resolution hydrodynamic models in sea harbours
Modelling and simulating vessel emissions in real time based on terrestrial AIS data
Real-time maritime anomaly detection: detecting intentional AIS switch-off
A comparison of supervised learning schemes for the detection of search and rescue (SAR) vessel patterns
BigDataOcean Project: Early Anomaly Detection from Big Maritime Vessel Traffic Data
Countering Real-Time Stream Poisoning: An Architecture for Detecting Vessel Spoofing in Streams of AIS Data
Determining the bilge water waste risk and management in the Gulf of Antalya by the Monte Carlo method
FleetMon Supports the Development of Environmental Impact Assessment on the Brazilian Coast
Scrapping Probabilities and Committed CO2 Emissions of the International Ship Fleet
Scalable In-Database Machine Learning for the Prediction of Port-to-Port Routes
How a real-time-based sea traffic forecast helps to organize and optimize the flow of maritime goods
Generating a node in an AIS-based routing graph for improved Estimated Time of Arrival. (Big) Data challenge: using AIS for generating a routing graph
Composition, spatial distribution and sources of macro-marine litter on the Gulf of Alicante seafloor (Spanish Mediterranean)
Climate change, non-indigenous species and shipping: assessing the risk of species introduction to a high-Arctic archipelago
The Big Picture: An Improved Method for Mapping Shipping Activities
GMSA: A Digital Twin Application for Maritime Route and Event Forecasting
Patterns of Life : Global Inventory for maritime mobility patterns
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