Turning Noise into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data
| dc.contributor.author | Spiridon, Kasapis | |
| dc.contributor.author | Thompson, Barbara J. | |
| dc.contributor.author | Rodriguez, Juan V. | |
| dc.contributor.author | Attie, Raphael | |
| dc.contributor.author | Cucho-Padin, Gonzalo | |
| dc.contributor.author | da Silva, Daniel | |
| dc.contributor.author | Jin, Meng | |
| dc.contributor.author | Pesnell, William D. | |
| dc.date.accessioned | 2023-11-30T16:50:36Z | |
| dc.date.available | 2023-11-30T16:50:36Z | |
| dc.date.issued | 2023-04-18 | |
| dc.description | International Workshop on Machine Learning and Computer Vision in Heliophysics; Sofia, Bulgaria; April 18th, 2023 | |
| dc.description.uri | https://ntrs.nasa.gov/api/citations/20230005881/downloads/Kasapis2023_Presentation_final%202.pdf | |
| dc.format.extent | 17 slides | |
| dc.genre | presentations (communicative events) | |
| dc.identifier.uri | http://hdl.handle.net/11603/30945 | |
| dc.language.iso | en_US | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Goddard Planetary Heliophysics Institute (GPHI) | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law. | |
| dc.rights | Public Domain Mark 1.0 | en |
| dc.rights.uri | https://creativecommons.org/publicdomain/mark/1.0/ | |
| dc.title | Turning Noise into Data: Characterization of the Van Allen Radiation Belt Using SDO Spikes Data | |
| dc.type | Text | |
| dcterms.creator | https://orcid.org/0000-0001-7537-3539 |