Publication2025
Comparative Analysis of Deep Learning Architectures for Skin Tone Classification
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- 2nd International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2025
- Published
- 1 January 2025
- DOI
- 10.1109/ic-cgu67042.2025.11338089
- Scopus ID
- 105033343692
- Authors
- 6
- Open access
- No
- Citations
- 0
- 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
Deep learning research on CNN architectures for image classification addresses research innovation in AI systems with focus on reducing algorithmic bias.
- 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
10.3 Ensure equal opportunity and reduce inequalities of outcome, including by eliminating discriminatory laws and practices
Abstract emphasizes eliminating bias in AI model whiteness and importance of accurate classifiers for fair real-world deployment across demographics.
- 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
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Novel deep learning approach to classification directly advances digital technology and artificial intelligence methods.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Comparative Analysis of Deep Learning Architectures for Skin Tone Classification”. Kortex.