CORDIS Project
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SynthAIR aims to develop artificial intelligence methods for generating synthetic data in air traffic management systems. By creating a Universal Time Series Generator, the project seeks to enhance data availability and model generalization, enabling better predictions and insights in aviation environments with limited…
The main objective of SynthAIR is to explore and define AI-based methods for synthetic data generation in the domain of ATM system due to the limitation of AI-based tools development by the lack of enough data available (e.g., safety-related data) and the problem of generalization of those AI-based models.
We want to explore data-driven methods for synthetic data generation, since they require 1) less user knowledge expertise (no need to derive the explicit model of the distribution), 2) better…
SINTEF AS
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Italy, Roma
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Belgium, Bruxelles / Brussel
Type: Research institute
Activity type: Research Organisations
SME: No
Netherlands, Delft
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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