33 citations · 38 across the 6 of their papers we have counts for
3 papers · 1 filter
Physics-driven machine learning for the prediction of coronal mass ejections' travel times
Sabrina Guastavino, Valentina Candiani, Alessandro Bemporad +7
Coronal Mass Ejections (CMEs) correspond to dramatic expulsions of plasma and magnetic field from the solar corona into the heliosphere. CMEs are scientifically relevant because th…
Operational solar flare forecasting via video-based deep learning
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto +2
Operational flare forecasting aims at providing predictions that can be used to make decisions, typically at a daily scale, about the space weather impacts of flare occurrence. Thi…
Implementation paradigm for supervised flare forecasting studies: a deep learning application with video data
Sabrina Guastavino, Francesco Marchetti, Federico Benvenuto +2
Solar flare forecasting can be realized by means of the analysis of magnetic data through artificial intelligence techniques. The aim is to predict whether a magnetic active region…