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cs.LG2025
Scalable Machine Learning Analysis of Parker Solar Probe Solar Wind Data
Daniela Martin, Connor O'Brien, Valmir P Moraes Filho +4
We present a scalable machine learning framework for analyzing Parker Solar Probe (PSP) solar wind data using distributed processing and the quantum-inspired Kernel Density Matrice…
cs.LG2025
CIPHER: Scalable Time Series Analysis for Physical Sciences with Application to Solar Wind Phenomena
Jasmine R. Kobayashi, Daniela Martin, Valmir P Moraes Filho +12
Labeling or classifying time series is a persistent challenge in the physical sciences, where expert annotations are scarce, costly, and often inconsistent. Yet robust labeling is…