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Found 3 papers, 1 papers with code
Machine Learning Applications to Kronian Magnetospheric Reconnection Classification
The products of magnetic reconnection in Saturn's magnetotail are identified in magnetometer observations primarily through characteristic deviations in the north-south component of the magnetic field.
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets.
Automated Coronal Hole Identification via Multi-Thermal Intensity Segmentation
From these properties, a clear linear relationship was identified between the duration of geomagnetic storms and coronal hole areas.
Solar and Stellar Astrophysics
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