Publication2024
Decision support system based on a hybrid genetic algorithm–Kohonen map for combined mode conduction–radiation heat transfer in a porous medium: A comparative assessment of three variations of the Kohonen map
The record
- Type
- Publication
- Date
- 1 May 2024
- Level
- National
- Journal
- Heat Transfer
- Volume
- 53
- Issue
- 3
- Pages
- 1556-1585
- Published
- 1 May 2024
- DOI
- 10.1002/htj.23005
- Scopus ID
- 85182227992
- ISSN
- 26884534
- Authors
- 6
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Hybrid genetic algorithm and machine learning research for decision-making systems in thermal engineering applications using porous media.
- 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
Research on novel computational methods for complex thermal system optimization advances research and development capabilities.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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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. “Decision support system based on a hybrid genetic algorithm–Kohonen map for combined mode conduction–radiation heat transfer in a porous medium: A comparative assessment of three variations of the Kohonen map”. Kortex.