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Geomagnetic data prediction with deep learning under the constraint of reference channel data
Geomagnetic data are crucial for pre‐earthquake electromagnetic anomaly analysis and deep earth exploration, yet data acquisition is highly susceptible to cultural noise, instrument failures or transmission anomalies, leading to data loss or saturation. For decades, time‐series editing and reference station methods h...