The VesselAI Data Harmonisation Services is a set of services provided through an User Interface for harmonising Maritime Domain-related data sources with Big Data characteristics. This harmonisation process entails the mapping of raw data schemas/formats... read more of VesselAI Data Harmonisation Services

The purpose of the Data Exploration Service is to allow the users of VesselAI to explore the available datasets, combine them and express complex queries on them. The service offers an environment through which the user can discover the available datasets... read more of Data Exploration Tool

This asset includes code forthe prediction of fuel consumption using AI regression models and time series forecasting techniques. The asset was developed in the context of H2020 VesselAI project read more of VesselAI Fuel Consumption Regression and Time Series Forecasting

Using a unique dataset, comprising historical maritime data for different vessel voyages, including vessel type, voyage information and environmental factors, we employ decision trees, a number of regression, and artificial neural network algorithms for p... read more of VesselAI CO2 Emissions Prediction using ML algorithms

AIS data collected by the University of Piraeus' AIS receiver read more of The Piraeus AIS Dataset for Large-scale Maritime Data Analytics

A lightweight AI rerouting decision model that helps to determine whether running weather routing is beneficial. The goal of the model is to help minimize the high computational workload demanded by a commercial weather routing system that performs freque... read more of Weather rerouting decision support model

A model capable of detecting anomalous ship behavior for a given geographical region. read more of Autoencoder-Based Maritime Anomaly Detection