1 citations · 1 across the 5 of their papers we have counts for
5 papers
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting
Maher A Dayeh, Michael J Starkey, Subhamoy Chatterjee +3
Space weather forecasting is critical for mitigating radiation risks in space exploration and protecting Earth-based technologies from geomagnetic disturbances. This paper presents…
MEMPSEP III. A machine learning-oriented multivariate data set for forecasting the Occurrence and Properties of Solar Energetic Particle Events using a Multivariate Ensemble Approach
Kimberly Moreland, Maher Dayeh, Hazel M. Bain +3
We introduce a new multivariate data set that utilizes multiple spacecraft collecting in-situ and remote sensing heliospheric measurements shown to be linked to physical processes…
MEMPSEP I : Forecasting the Probability of Solar Energetic Particle Event Occurrence using a Multivariate Ensemble of Convolutional Neural Networks
Subhamoy Chatterjee, Maher Dayeh, Andrés Muñoz-Jaramillo +3
The Sun continuously affects the interplanetary environment through a host of interconnected and dynamic physical processes. Solar flares, Coronal Mass Ejections (CMEs), and Solar…
Homogenising SoHO/EIT and SDO/AIA 171Å Images: A Deep Learning Approach
Subhamoy Chatterjee, Andrés Muñoz-Jaramillo, Maher Dayeh +2
Extreme Ultraviolet images of the Sun are becoming an integral part of space weather prediction tasks. However, having different surveys requires the development of instrument-spec…