7 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
Variability of interplanetary shock and associated energetic particle properties as a function of the time window around the shock
Kimberly Moreland, Maher Dayeh, Gang Li +3
We study the effect of sampling windows on derived shock and associated energetic storm particle (ESP) properties in 296 fast-forward interplanetary shocks using ACE measurements a…