Cloud-Based Machine Learning Service for Astronomical Sub-Object Classification: Case Study On the First Byurakan Survey Spectra
The classification of astronomical objects in the Digitized First Byurakan Survey (DFBS), comprising low-dispersion spectra for approximately twenty million objects, presents challenges regarding performance and computational resources. However, considering the distinct spectral characteristics with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2024-01-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1638 |