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DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data
Flagit corrected flagged 95. 5% of the corrected observations and 50. 3% of the anomaly observations, indicating its limitations in identifying anomalies.
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