6 papers
Predicting coronal mass ejection travel times using enhanced model-guided machine learning
M. Lampani, M. Rossi, S. Guastavino +2
Coronal mass ejections (CMEs) are key drivers of space weather events, posing risks to both space-borne and ground-based systems. Accurate prediction of their arrival time at Earth…
CLEAN and multi-scale CLEAN for STIX in Solar Orbiter
Miriana Catalano, Anna Volpara, Paolo Massa +2
CLEAN is a well-established deconvolution approach to Fourier imaging at both radio wavelwengths and hard X-ray energies. However, specifically for hard X-ray imaging, CLEAN suffer…
AI-based modular warning machine for risk identification in proximity healthcare
Chiara Razzetta, Shahryar Noei, Federico Barbarossa +17
"DHEAL-COM - Digital Health Solutions in Community Medicine" is a research and technology project funded by the Italian Department of Health for the development of digital solution…
Solar flares as electron accelerators: toward a resolution of the acceleration efficiency issue
Anna Volpara, Paolo Massa, Michele Piana +2
A major open issue concerning the active Sun is the effectiveness with which magnetic reconnection accelerates electrons in flares. A paper published by {\em{Nature}} in 2022 used…
Artificial Intelligence Could Have Predicted All Space Weather Events Associated with the May 2024 Superstorm
Sabrina Guastavino, Edoardo Legnaro, Anna Maria Massone +1
Space weather, driven by solar flares and Coronal Mass Ejections (CMEs), poses significant risks to technological systems. Accurately forecasting these events and their impact on E…
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
Edoardo Legnaro, Sabrina Guastavino, Michele Piana +1
A solar active region can significantly disrupt the Sun Earth space environment, often leading to severe space weather events such as solar flares and coronal mass ejections. As a…