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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.
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.
Physics-driven machine learning for the prediction of coronal mass ejections' travel times
Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasma and magnetic field from the solar corona into the heliosphere.
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.
Machine learning as a flaring storm warning machine: Was a warning machine for the September 2017 solar flaring storm possible?
Machine learning is nowadays the methodology of choice for flare forecasting and supervised techniques, in both their traditional and deep versions, are becoming the most frequently used ones for prediction in this area of space weather.
MEM_GE: a new maximum entropy method for image reconstruction from solar X-ray visibilities
Although widely used in image deconvolution, this method has been formulated in radio astronomy for the analysis of observations in the spatial frequency domain, and an Interactive Data Language (IDL) code has been implemented for image reconstruction from solar X-ray Fourier data.
Image Deconvolution
Image Reconstruction
+1
Solar and Stellar Astrophysics
Instrumentation and Methods for Astrophysics
49N45, 94A08
Radiomics and artificial intelligence analysis of CT data for the identification of prognostic features in multiple myeloma
Multiple Myeloma (MM) is a blood cancer implying bone marrow involvement, renal damages and osteolytic lesions.
Desaturating EUV observations of solar flaring storms
Image saturation has been an issue for several instruments in solar astronomy, mainly at EUV wavelengths.
Geometry of the Hough transforms with applications to synthetic data
In the framework of the Hough transform technique to detect curves in images, we provide a bound for the number of Hough transforms to be considered for a successful optimization of the accumulator function in the recognition algorithm.
A hybrid supervised/unsupervised machine learning approach to solar flare prediction
We introduce a hybrid approach to solar flare prediction, whereby a supervised regularization method is used to realize feature importance and an unsupervised clustering method is used to realize the binary flare/no-flare decision.
DESAT: an SSW tool for SDO/AIA image de-saturation
Saturation affects a significant rate of images recorded by the Atmospheric Imaging Assembly on the Solar Dynamics Observatory.
An iterative approach to Hough transform without re-voting
Many bone shapes in the human skeleton are characterized by profiles that can be associated to equations of algebraic curves.
