Add to ORKGAn experienced dispatcher3 will have a good understanding on differences between planned and executed flight plans. Dispatcher3 will provide a data infrastructure to develop machine learning models to provide advice to dispatchers and duty managers
The objective of this paper is to present a machine learning approach for the prediction of the Requ...
Review of approach and challenges of using machine learning techniques for air transport systems wit...
Acceptance of automation has been a bottleneck for successful introduction of automation in Air Trac...
An experienced dispatcher3 will have a good understanding on differences between planned and execute...
This poster will present the final results of the Clean Sky 2 project Dispatcher3. Dispatcher3 focus...
This deliverable along with deliverable D4.2. Prototype Package (first release) is the release of th...
Machine learning techniques to support decision making processes are in trend. These are particularl...
This deliverable is the technical description of the final release of Dispatcher3 prototype includin...
This deliverable along with D4.3 – Architecture and prototype description are the release of the fin...
This deliverable summarises the activities performed in WP3 – Domain driven data engineering and ana...
The deliverable provides the results from the verification and validation activities within Dispatch...
Airlines prepare and update their operation plan pre-tactically (D-1) to identify which flights migh...
Estimating the potential propagation of delay (and its associated cost) is crucial for the managemen...
This master thesis is a collaboration with Jeppesen, a Boeing company to attempt applying machine le...
In the airline industry, flight dispatchers are responsible for planning aircraft routes safely and ...
The objective of this paper is to present a machine learning approach for the prediction of the Requ...
Review of approach and challenges of using machine learning techniques for air transport systems wit...
Acceptance of automation has been a bottleneck for successful introduction of automation in Air Trac...
An experienced dispatcher3 will have a good understanding on differences between planned and execute...
This poster will present the final results of the Clean Sky 2 project Dispatcher3. Dispatcher3 focus...
This deliverable along with deliverable D4.2. Prototype Package (first release) is the release of th...
Machine learning techniques to support decision making processes are in trend. These are particularl...
This deliverable is the technical description of the final release of Dispatcher3 prototype includin...
This deliverable along with D4.3 – Architecture and prototype description are the release of the fin...
This deliverable summarises the activities performed in WP3 – Domain driven data engineering and ana...
The deliverable provides the results from the verification and validation activities within Dispatch...
Airlines prepare and update their operation plan pre-tactically (D-1) to identify which flights migh...
Estimating the potential propagation of delay (and its associated cost) is crucial for the managemen...
This master thesis is a collaboration with Jeppesen, a Boeing company to attempt applying machine le...
In the airline industry, flight dispatchers are responsible for planning aircraft routes safely and ...
The objective of this paper is to present a machine learning approach for the prediction of the Requ...
Review of approach and challenges of using machine learning techniques for air transport systems wit...
Acceptance of automation has been a bottleneck for successful introduction of automation in Air Trac...