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Found 6 papers, 1 papers with code
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
This study addresses the prediction of geomagnetic disturbances by exploiting machine learning techniques.
Greedy feature selection: Classifier-dependent feature selection via greedy methods
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature selection.
AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data
AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the framework of the ``Attivit\`a di Studio per la Comunit\`a Scientifica Nazionale Sole, Sistema Solare ed Esopianeti'' program.
Interpolation with the polynomial kernels
We will then study the Reproducing Kernel Hilbert Spaces (or native spaces) of these kernels and their norms, and provide inclusion relations between spaces corresponding to different kernel parameters.
Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs
Model reduction for fluid flow simulation continues to be of great interest across a number of scientific and engineering fields.
Visibility Interpolation in Solar Hard X-ray Imaging: Application to RHESSI and STIX
Space telescopes for solar hard X-ray imaging provide observations made of sampled Fourier components of the incoming photon flux.
