Published July 18, 2022
| Version v1
Poster
Open
Comprehensive Time Series Data Analytics for the Prediction of Solar Flares and Eruptions
Authors/Creators
- 1. Georgia State University
- 2. Academy of Athens
Description
We report on progress made by our Data Mining Lab at Georgia State University on the interdisciplinary research project funded by the NSF-OAC-1931555 award. We take on two main challenges hindering data-driven solar flare forecasting, which are: (1) extreme class imbalance among solar transient events, and (2) noisy “no-flare” labeling of continuous space weather data.
Notes
NSF Award # 1931555. Elements: Comprehensive Time Series Data Analytics for the Prediction of Solar Flares and Eruptions
Files
POSTER_Angryk_NSF-OAC-1931555.pdf
Files
(4.2 MB)
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