Deep Learning Approach to Satellite Collision Avoidance Using Long Short-Term Memory-Reference-Cited by-同舟云学术

Deep Learning Approach to Satellite Collision Avoidance Using Long Short-Term Memory

Published:2024 Issue: Volume: Page:101-111
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:en
Short-container-title:

Author:

Osama Alaa^ORCID,Raafat Mourad^ORCID,Abdelghafar Sara^ORCID,Darwish Ashraf^ORCID,Hassanien Aboul Ella^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-97-2321-8_9

Reference22 articles.

1. Hassanien, A.E., Darwish, A., & Abdelghafar, S. (2020). Machine learning in telemetry data mining of space mission: basics, challenging and future directions. Artificial Intelligence Review, 53, 3201–3230. https://doi.org/10.1007/s10462-019-09760-1

2. Abdelghafar, S., Darwish, A., & Hassanien, A.E. (2020). Intelligent health monitoring systems for space missions based on data mining techniques. In A. Hassanien, A. Darwish, H. El-Askary (Eds.), Machine learning and data mining in aerospace technology. Studies in computational intelligence (Vol. 836). Springer, Cham. https://doi.org/10.1007/978-3-030-20212-5_4

3. Stoll, E., D’Souza, B., Virgili, B.B., Merz, K., & Krag, H. (2013). Operational collision avoidance of small satellite missions. In Proceedings of IEEE Aerospace Conference (pp. 1–11). https://doi.org/10.1109/AERO.2013.6496955

4. Geospatial World. Available online: https://www.geospatialworld.net/blogs/howmany-satellites-orbit-earth-and-why-spacetraffic-management-is-crucial/. Accessed on 3 June 2021

5. Puente, C., Sáenz-Nuño, M. A., Villa-Monte, A., & Olivas, J. A. (2021). Satellite orbit prediction using big data and soft computing techniques to avoid space collisions. Mathematics, 9(17), 2040. https://doi.org/10.3390/math9172040