Convection indicator for pre-tactical air traffic flow management using neural networks

Author:

Jardines AnielORCID,Soler ManuelORCID,Cervantes Alejandro,García-Heras JavierORCID,Simarro Juan

Funder

Spain Ministry of Science Innovation and Universities

Horizon 2020

Publisher

Elsevier BV

Subject

General Medicine

Reference23 articles.

1. Operational convective-scale numerical weather prediction with the COSMO model: Description and sensitivities;Baldauf;Monthly Weather Review,2011

2. Random forests;Breiman;Machine Learning,2001

3. An artificial neural network model to predict thunderstorms within 400 km2 south texas domains;Collins;Meteorological Applications,2015

4. European airline delay cost reference values;Cook;Eurocontrol: Brussels, Belgium,2015

5. 2018 performance review report, “An assessment of air traffic management in Europe during the calendar year 2018”;EUROCONTROL,2019

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1. Thunderstorm prediction during pre-tactical air-traffic-flow management using convolutional neural networks;Expert Systems with Applications;2024-05

2. Intelligent Algorithm Based Traffic Flow Automatic Control Method at Traffic Intersection;2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT);2022-12-09

3. Efficiency Analysis of Air Traffic Under the Risk of Airspace Use;2022 IEEE 9th International Conference on Problems of Infocommunications, Science and Technology (PIC S&T);2022-10-10

4. Comparison of various temporal air traffic flow management models in critical scenarios;Journal of Air Transport Management;2022-10

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