Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation

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Pubblicato in:	arXiv.org (Dec 20, 2024), p. n/a
Autore principale:	Lee, Kevin
Pubblicazione:	Cornell University Library, arXiv.org
Soggetti:	National Aeronautics & Space Administration > NASA National Oceanic & Atmospheric Administration > NOAA Data processing Verification Real time operation Signal quality Climate models Tsunamis Gravitational fields GRACE (experiment) Earth gravitation Encoding-Decoding Anomalies Machine learning Time series
Accesso online:	Citation/Abstract Full text outside of ProQuest
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