17 citations · 32 across the 3 of their papers we have counts for
3 papers
Clustering of Global Magnetospheric Observations
James Edmond, Joachim Raeder, Banafsheh Ferdousi +2
The use of supervised methods in space science have demonstrated powerful capability in classification tasks, but unsupervised methods have been less utilized for the clustering of…
Global geomagnetic perturbation forecasting using Deep Learning
Vishal Upendran, Panagiotis Tigas, Banafsheh Ferdousi +6
Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field which arise from the interaction of the solar wind with Earth's magnetosphere,…
Unsupervised classification of simulated magnetospheric regions
Maria Elena Innocenti, Jorge Amaya, Joachim Raeder +3
In magnetospheric missions, burst mode data sampling should be triggered in the presence of processes of scientific or operational interest. We present an unsupervised classificati…