Publication2023
Keppler Red Giants Classification using a Machine learning approach
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2022 Opju International Technology Conference on Emerging Technologies for Sustainable Development Otcon 2022
- Published
- 1 January 2023
- DOI
- 10.1109/otcon56053.2023.10113969
- Scopus ID
- 85159779345
- Authors
- 4
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Machine learning classifier research for asteroseismic data analysis of Kepler Red Giants demonstrates innovation in astronomical data analysis and classification algorithms.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Fundamental research in machine learning and data science supports broader research and development capacity in computational astronomy.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Keppler Red Giants Classification using a Machine learning approach”. Kortex.
