Aircraft Trajectory Prediction Enhanced through Resilient Generative Adversarial Networks Secured by Blockchain: Application to UAS-S4 Ehécatl

This paper introduces a novel and robust data-driven algorithm designed for Aircraft Trajectory Prediction (ATP). The approach employs a Neural Network architecture to predict future aircraft trajectories, utilizing input variables such as latitude, longitude, altitude, heading, speed, and time. The...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Seyed Mohammad Hashemi, Seyed Ali Hashemi, Ruxandra Mihaela Botez, Georges Ghazi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-08-01
Schriftenreihe:	Applied Sciences
Schlagworte:	robustness aircraft trajectory prediction generative adversarial networks blockchain
Online-Zugang:	https://www.mdpi.com/2076-3417/13/17/9503
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