[HTML][HTML] Prediction of solar energetic events impacting space weather conditions
Aiming to assess the progress and current challenges on the formidable problem of the
prediction of solar energetic events since the COSPAR/International Living With a Star …
prediction of solar energetic events since the COSPAR/International Living With a Star …
Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities
We give a gentle introduction to solar imaging data, focusing on the challenges and
opportunities of data-driven approaches for solar eruptions. We present various solar …
opportunities of data-driven approaches for solar eruptions. We present various solar …
Deep neural networks of solar flare forecasting for complex active regions
M Li, Y Cui, B Luo, J Wang, X Wang - Frontiers in Astronomy and …, 2023 - frontiersin.org
Solar flare forecasting is one of major components of operational space weather forecasting.
Complex active regions (ARs) are the main source producing major flares, but only a few …
Complex active regions (ARs) are the main source producing major flares, but only a few …
Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches
S Guastavino, K Bahamazava, E Perracchione… - arXiv preprint arXiv …, 2024 - arxiv.org
This study addresses the prediction of geomagnetic disturbances by exploiting machine
learning techniques. Specifically, the Long-Short Term Memory recurrent neural network …
learning techniques. Specifically, the Long-Short Term Memory recurrent neural network …
Solar synthetic imaging: Introducing denoising diffusion probabilistic models on SDO/AIA data
For the luck of humanity, there are way less big solar flares than small ones. Even if these
are good news, this makes it challenging to train machine learning algorithms able to model …
are good news, this makes it challenging to train machine learning algorithms able to model …
An Introduction on Solar Imaging Data Analytic Challenges and Opportunities for Statisticians
We give a gentle introduction to solar imaging data, focusing on challenges and
opportunities of data-driven approaches for solar eruptions. The various solar phenomena …
opportunities of data-driven approaches for solar eruptions. The various solar phenomena …
Multimodal Flare Forecasting with Deep Learning
Solar flare forecasting mainly relies on photospheric magnetograms and associated
physical features to predict forthcoming flares. However, it is believed that flare initiation …
physical features to predict forthcoming flares. However, it is believed that flare initiation …
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
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 …
leading to severe space weather events such as solar flares and coronal mass ejections. As …
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 …
funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the …
Artificial Intelligence for Space Weather Prediction
M Piana - Advances in Representation: New AI-and XR-Driven …, 2024 - Springer
Abstract Space weather results from a sophisticated interplay of different disciplines, with the
aim of understanding and predicting the connection between the solar activity and the …
aim of understanding and predicting the connection between the solar activity and the …