The paper 'Crowdsourced wireless spectrum anomaly detection' addresses anomaly detection across three dimensions of wireless-spectrum monitoring: frequency, time, and space.
Notes on verification
Directly confirmed by the paper's own abstract, corroborated by arXiv, OpenAIRE, and ADS listings. [tier=silver indep_score=0.875 clusters=2 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)