Publication2023
Hybrid genetic algorithm-self organizing map network for decision support system: An application in combined mode conduction-radiation heat transfer in porous medium
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- Numerical Heat Transfer Part B Fundamentals
- Volume
- 84
- Issue
- 5
- Pages
- 642-664
- Published
- 1 January 2023
- DOI
- 10.1080/10407790.2023.2216873
- Scopus ID
- 85164518032
- ISSN
- 10407790
- Authors
- 6
- Open access
- No
- Citations
- 4
- 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
Hybrid genetic algorithm-self organizing map network for heat transfer regime optimization represents novel computational methodology in thermal engineering
- 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
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Porous medium heat transfer optimization supports potential renewable energy and efficiency applications in thermal systems design
- 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-3.1 Research and development
Computational optimization methodology advancement contributes to research and development in engineering sciences and thermal applications
- 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. “Hybrid genetic algorithm-self organizing map network for decision support system: An application in combined mode conduction-radiation heat transfer in porous medium”. Kortex.