no code implementations • 16 Dec 2020 • Matthew A. Young, Nathan A. Schwadron, Matthew Gorby, Jon Linker, Ronald M. Caplan, Cooper Downs, Tibor Török, Pete Riley, Roberto Lionello, Viacheslav Titov, Richard A. Mewaldt, Christina M. S. Cohen
The simulation roughly reproduces the peak event fluxes, and timing and spatial location of the energetic particle event.
Solar and Stellar Astrophysics Space Physics
1 code implementation • 11 Dec 2020 • Matthew Lang, Jake Witherington, Harriet Turner, Matt Owens, Pete Riley
And the DA scheme enables the representation of the solar wind in the whole model domain between the Sun and the Earth to be improved, which will enable improved forecasting of CME arrival time and speed.
no code implementations • Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference 520 2017 • Sajitha Naduvil-Vadukootu, Rafal A. Angryk, Pete Riley
We propose a novel approach to combine state-of-the-art time series data processing methods, such as symbolic aggregate approximation (SAX), with very recently developed deep neural network architectures, such as deep recurrent neural networks (DRNN), for time series data modeling and prediction.