Reliable Aircraft Trajectory Prediction Using Autoencoder Secured with P2P Blockchain
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37160-8_41
Reference12 articles.
1. Alladi, T., Chamola, V., & Sahu, N. (2020). Applications of blockchain in unmanned aerial vehicles: A review. Vehicular Communications, 23, 100249.
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3. Ghazi, G., Botez, R. M., & Maniette, N. (2020). Cessna Citation X takeoff and departure trajectories prediction in presence of winds. Journal of Aerospace Information Systems, 17(12), 659–681.
4. Hashemi, S. M., & Botez, R. M. (2022a). Lyapunov-based robust adaptive configuration of the UAS-S4 flight dynamics fuzzy controller. The Aeronautical Journal, 1–23.
5. Hashemi, S. M., & Botez, R. M. (2022b). Support vector regression application for the flight dynamics new modelling of the UAS-S4. In AIAA SCITECH 2022 forum (p. 2576).
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