PEDRO CESAR
ALVAREZ ESTEBAN
PROFESORES TITULARES DE UNIVERSIDAD
MIGUEL ÁNGEL
MARTÍNEZ PRIETO
PROFESORES TITULARES DE UNIVERSIDAD
Publicaciones en las que colabora con MIGUEL ÁNGEL MARTÍNEZ PRIETO (10)
2024
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A deep learning-based approach for predicting in-flight estimated time of arrival
Journal of Supercomputing, Vol. 80, Núm. 12, pp. 17212-17246
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Multi-route aircraft trajectory prediction using Temporal Fusion Transformers
IEEE Access
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Towards aircraft trajectory prediction using LSTM networks
Proceedings of the ACM Symposium on Applied Computing
2021
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On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions
The 9th OpenSky Symposium
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On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions †
Engineering Proceedings, Vol. 13, Núm. 1
2018
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AIRPORTS metrics: A big data application for computing flights' performance indexes based on flown trajectories
AIAA/IEEE Digital Avionics Systems Conference - Proceedings
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AIRPORTS: Análisis de eficiencia operacional basado en trayectorias de vuelo
Actas de las 23rd Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2018
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AIRPORTS: Análisis de eficiencia operacional basado en trayectorias de vuelo
Actas de las 23rd Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2018
2017
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Integrating flight-related information into a (Big) data lake
AIAA/IEEE Digital Avionics Systems Conference - Proceedings
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Towards a scalable architecture for flight data management
DATA 2017 - Proceedings of the 6th International Conference on Data Science, Technology and Applications