Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance-Reference-Cited by-同舟云学术

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Neural Networks for Aircraft Trajectory Prediction: Answering Open Questions About Their Performance

Published:2023 Issue: Volume:11 Page:26593-26610
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ayala Daniel¹^ORCID,Ayala Rafael²^ORCID,Vidal Lara Sellés³^ORCID,Hernández Inma¹,Ruiz David¹^ORCID

Affiliation:

1. ETSII, University of Seville, Seville, Spain

2. Molecular Cryo Electron Microscopy Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Kunigami, Okinawa, Japan

3. Nucleic Acid Chemistry and Engineering Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Kunigami, Okinawa, Japan

Funder

Spanish Ministry of Science, Innovation and Universities

Office for Economy and Knowledge of the Andalusian Regional Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10065445.pdf?arnumber=10065445

Reference45 articles.

1. Hybrid Machine Learning and Estimation-Based Flight Trajectory Prediction in Terminal Airspace

2. Deep Dense Neural Network for Early Prediction of Failure-Prone Students

3. Terminal-Area Aircraft Tracking Using Hybrid Estimation

4. A neural network for semantic labelling of structured information

5. Trajectory prediction for future air traffic management – complex manoeuvres and taxiing

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