83 citations · 722 across the 52 of their papers we have counts for
5 papers · 1 filter
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…