Zobrazeno 1 - 10
of 576
pro vyhledávání: '"Piana, Michele"'
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 consequence, the automatic classification of active region groups is t
Externí odkaz:
http://arxiv.org/abs/2410.17816
The solar wind drag-based model is a widely used framework for predicting the propagation of Coronal Mass Ejections (CMEs) through interplanetary space. This model primarily considers the aerodynamic drag exerted by the solar wind on CMEs. However, f
Externí odkaz:
http://arxiv.org/abs/2409.03281
Autor:
Volpara, Anna, Lupoli, Alessandro, Filbir, Frank, Perracchione, Emma, Massone, Anna Maria, Piana, Michele
Imaging spectroscopy, i.e., the generation of spatially resolved count spectra and of cubes of count maps at different energies, is one of the main goals of solar hard X-ray missions based on Fourier imaging. For these telescopes, so far imaging spec
Externí odkaz:
http://arxiv.org/abs/2407.01175
Autor:
Parodi, Davide, Dighero, Edoardo, Biddau, Giorgia, D'Amico, Francesca, Bauckneht, Matteo, Marini, Cecilia, Garbarino, Sara, Campi, Cristina, Piana, Michele, Sambuceti, Gianmario
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesion almost contains inflammatory infiltrates whose cells
Externí odkaz:
http://arxiv.org/abs/2406.00382
Autor:
Guastavino, Sabrina, Bahamazava, Katsiaryna, Perracchione, Emma, Camattari, Fabiana, Audone, Gianluca, Telloni, Daniele, Susino, Roberto, Nicolini, Gianalfredo, Fineschi, Silvano, Piana, Michele, Massone, Anna Maria
This study addresses the prediction of geomagnetic disturbances by exploiting machine learning techniques. Specifically, the Long-Short Term Memory recurrent neural network, which is particularly suited for application over long time series, is emplo
Externí odkaz:
http://arxiv.org/abs/2403.09847
Autor:
Camattari, Fabiana, Guastavino, Sabrina, Marchetti, Francesco, Piana, Michele, Perracchione, Emma
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature selection. In statistical learning, feature selection is usually realized by means of methods that are indepen
Externí odkaz:
http://arxiv.org/abs/2403.05138
Autor:
Piana, Michele, Benvenuto, Federico, Massone, Anna Maria, Campi, Cristina, Guastavino, Sabrina, Marchetti, Francesco, Massa, Paolo, Perracchione, Emma, Volpara, Anna
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
Externí odkaz:
http://arxiv.org/abs/2401.01104
The analysis of the psoas muscle in morphological and functional imaging has proved to be an accurate approach to assess sarcopenia, i.e. a systemic loss of skeletal muscle mass and function that may be correlated to multifactorial etiological aspect
Externí odkaz:
http://arxiv.org/abs/2312.05887
Autor:
Volpara, Anna, Massa, Paolo, Krucker, Sam, Emslie, A Gordon, Piana, Michele, Massone, Anna Maria
Regularized imaging spectroscopy was introduced for the construction of electron flux images at different energies from count visibilities recorded by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI). In this work we seek to extend t
Externí odkaz:
http://arxiv.org/abs/2311.07148