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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

S. L. Takács

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Open access Sep 2026

Autoencoder-Based FM Spectrum Anomaly Detection: A Pipeline-Level Study of Preprocessing, Model Capacity, and Reconstruction Scoring

Automated anomaly detection is increasingly important in radio spectrum monitoring, where large volumes of continuously generated measurements must be analyzed while anomalous events remain relatively rare. This study investigates reconstruction-based anomaly detection for real-world very-high-frequency (VHF) Band II r...

S. L. Takács, Konrád Kajdy · 0 citations
Open access 2026

Convolutional and Variational Autoencoders with Supervised Classifiers for RF Spectrum Anomaly Detection

The results indicate that hybrid encoder–classifier approaches can provide an effective practical solution for anomaly detection in spectrum monitoring environments, and are limited to the investigated FM-band dataset and require further validation across broader spectrum environments.

S. L. Takács, Konrád Kajdi · 1 citation

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