Recently, Artificial intelligence (AI) algorithms have shown increasable interest in various application domains including in Air Transportation Management (ATM). Different AI in particular Machine Learning (ML) algorithms are used to provide decision support in autonomous decision-making tasks in the ATM domain e.g. predicting air transportation traffic and optimizing traffic flows. However, most of the time […]
This project has received founding from the SESAR Joint Undertaking grant agreement No. 894238 under European Union’s Horizon 2020 research and innovation programme
Project coordinator
Mälardalen University
Mobyen Uddin Ahmed
mobyen.ahmed@mdh.se
The opinions expressed herein reflect the author’s view only. Under no circumstances shall the SESAR Joint Undertaking be responsible for any use that may be made of the information contained herein.