This study identifies the feasibility of leveraging deep learning anomaly detection to identify event-driven traveling ionospheric disturbances (TIDs). DR. JIHYE PARK, FIONA LUHRMANN, DR. WENG-KEEN WONG, OREGON STATE UNIVERSITY Ionospheric responses to various geophysical events have been studi
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