Rani Naaman, Felipe Gohring de Magalhaes
, Jean-Yves Sami Ouattara and Gabriela Nicolescu
Paper (2025)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9798331525194 |
| PolyPublie URL: | https://publications.polymtl.ca/70558/ |
| Conference Title: | 44th Digital Avionics Systems Conference (DASC 2025) |
| Conference Location: | Montreal, QC, Canada |
| Conference Date(s): | 2025-09-14 - 2025-09-18 |
| Publisher: | Institute of Electrical and Electronics Engineers |
| DOI: | 10.1109/dasc66011.2025.11257365 |
| Official URL: | https://doi.org/10.1109/dasc66011.2025.11257365 |
| Date Deposited: | 15 Dec 2025 13:14 |
| Last Modified: | 15 Dec 2025 13:14 |
| Cite in APA 7: | Naaman, R., Gohring de Magalhaes, F., Ouattara, J.-Y. S., & Nicolescu, G. (2025, September). Quantum Enhanced Anomaly Detection for ADS-B Data Using Hybrid Deep Learning [Paper]. 44th Digital Avionics Systems Conference (DASC 2025), Montreal, QC, Canada (9 pages). https://doi.org/10.1109/dasc66011.2025.11257365 |
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