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[PDF][PDF] Privacy-preserving federated machine learning in ATM: experimental results from two use cases
S Ruiz, A Rungger, S Toor, I Martín - sesarju.eu
This paper presents the experimental results conducted with a new technological solution
that can enable the privacypreserving exploitation of large private datasets through …
that can enable the privacypreserving exploitation of large private datasets through …
[PDF][PDF] SESAR Engage KTN–PhD final report
O García-Cantú - engagektn.com
The goal of air traffic flow and capacity management (ATFCM) is to ensure that airport and
airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding the …
airspace capacity meet traffic demand while optimising traffic flows to avoid exceeding the …
Modeling pre-tactical Air Traffic Flow Management decision processes with Maschine Learning/Deep Learning approaches
S Suresh - 2022 - elib.dlr.de
In the context of this master thesis, a structured analysis of a comprehensive set of flight plan
data is carried out with the help of advanced analytical methods from the fields of Machine …
data is carried out with the help of advanced analytical methods from the fields of Machine …