SpacePhyML: Enabling Access to Space Physics Data for Machine Learning Applications
Fuente:
Zenodo
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2025
|
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866902000530096128 |
|---|---|
| author | Ekelund, Jonah Raptis, Savvas Markidis, Stefano |
| author_facet | Ekelund, Jonah Raptis, Savvas Markidis, Stefano |
| contents | <p>Presented at <em>Machine Learning and Computer Vision in Heliophysics 2025</em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17152371 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | SpacePhyML: Enabling Access to Space Physics Data for Machine Learning Applications Ekelund, Jonah Raptis, Savvas Markidis, Stefano <p>Presented at <em>Machine Learning and Computer Vision in Heliophysics 2025</em></p> |
| title | SpacePhyML: Enabling Access to Space Physics Data for Machine Learning Applications |
| url | https://doi.org/10.5281/zenodo.17152371 |