Sanaei, Rasoul (2019) Improving ATM Network Resilience with Machine Learning. WAW Machine Learning IV, 2019-06-06 - 2019-06-07, cologne, Germany.
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Abstract
This presentation is demonstrating how challenging it is to improve the resiliency of European Air Traffic Management (ATM) Network. The importance of available databases is considered along with benefits of Machine Learning to address this challenge. On top of conceptual background and theoritical approach, NetRes snapshots (front-end) is also included. NetRes is the developed tool in Python which contributes to network state identification based on Capacity regulations.
Item URL in elib: | https://elib.dlr.de/128253/ | ||||||||
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Document Type: | Conference or Workshop Item (Speech) | ||||||||
Title: | Improving ATM Network Resilience with Machine Learning | ||||||||
Authors: |
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Date: | 6 June 2019 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | No | ||||||||
Gold Open Access: | No | ||||||||
In SCOPUS: | No | ||||||||
In ISI Web of Science: | No | ||||||||
Status: | Published | ||||||||
Keywords: | Air Traffic Flow Management, ATFM, Resilience, ATFCM, EATMN, Machine Learning | ||||||||
Event Title: | WAW Machine Learning IV | ||||||||
Event Location: | cologne, Germany | ||||||||
Event Type: | Workshop | ||||||||
Event Start Date: | 6 June 2019 | ||||||||
Event End Date: | 7 June 2019 | ||||||||
Organizer: | Deutsche Zentrum für Luft- und Raumfahrt (DLR) | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Aeronautics | ||||||||
HGF - Program Themes: | air traffic management and operations | ||||||||
DLR - Research area: | Aeronautics | ||||||||
DLR - Program: | L AO - Air Traffic Management and Operation | ||||||||
DLR - Research theme (Project): | L - Air Traffic Concepts and Operation (old) | ||||||||
Location: | Hamburg | ||||||||
Institutes and Institutions: | Air Transport Operations > Air Transport Infrastructures & Processes | ||||||||
Deposited By: | Sanaei, Rasoul | ||||||||
Deposited On: | 26 Aug 2019 09:43 | ||||||||
Last Modified: | 24 Apr 2024 20:31 |
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