Autoencoder-Based FM Spectrum Anomaly Detection: A Pipeline-Level Study of Preprocessing, Model Capacity, and Reconstruction Scoring
- DOI
- 10.3390/s26185979
- Published
- 2026-09-21
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26185979,
title = {Autoencoder-Based FM Spectrum Anomaly Detection: A Pipeline-Level Study of Preprocessing, Model Capacity, and Reconstruction Scoring},
author = {Szilárd László Takács and Konrád Kajdy},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26185979},
url = {https://doi.org/10.3390/s26185979}
}RIS
TY - JOUR TI - Autoencoder-Based FM Spectrum Anomaly Detection: A Pipeline-Level Study of Preprocessing, Model Capacity, and Reconstruction Scoring AU - Szilárd László Takács AU - Konrád Kajdy PY - 2026 JO - Sensors DO - 10.3390/s26185979 UR - https://doi.org/10.3390/s26185979 ER -
APA
Takács, S. L., & Kajdy, K. (2026). Autoencoder-Based FM Spectrum Anomaly Detection: A Pipeline-Level Study of Preprocessing, Model Capacity, and Reconstruction Scoring. Sensors. https://doi.org/10.3390/s26185979
Source records
- crossref · retrieved 2026-11-08T21:53:07.156Z