The authors of 'Crowdsourced wireless spectrum anomaly detection' develop schemes for generalizing user feedback across sensors to close the anomaly-detection loop.
Notes on verification
Verbatim match to the paper's published abstract, corroborated by arXiv, IEEE Xplore, OpenAIRE, and NASA ADS records. [tier=gold indep_score=0.95 clusters=3 claim_tier=everyday]
Sources
- Crowdsourced wireless spectrum anomaly detection (seed:technology_and_ai)
- https://ui.adsabs.harvard.edu/abs/2019arXiv190305408R/abstract (corroboration)
- https://explore.openaire.eu/search/publication?pid=10.1109/tccn.2019.2947512 (corroboration)
- https://ieeexplore.ieee.org/document/8869903/ (corroboration)