S-X-AIPI Pharma Use Case Process Model
A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
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A neural network-based time-series forecasting model for concentrations of an electrochemical reaction.
The Aristotle University of Thessaloniki (hereinafter, AUTH) created the dataset ‘3D-Flood’, within the context of the project TEMA that was funded by the European Commission-European Union [Grant Agreement number: 101093003; start date: 01/12/2022; end d...
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...
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...
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
A method for controlling diversity between clusterings in deep clustering frameworks.
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...
AIS data collected by the University of Piraeus' AIS receiver
SPACE4AI-R : runtime management tool for aI applications component placement and resource selection in computing continua