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by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

Comparison of discriminant analysis coupled with principal component analysis (PCA-DA) and back propagation neural network (BPNN) as classification model for decision support system in porous ceramic matrix (PCM) based burner

The record

Type
Publication
Date
1 September 2024
Level
International — held abroad
Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Volume
238
Issue
18
Pages
9293-9306
Published
1 September 2024
DOI
10.1177/09544062241246862
Scopus ID
85192565961
ISSN
09544062
Authors
6
Open access
No
Citations
1
International co-authorship
Yes
Co-author countries
IN, IR

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

  1. 7.2 Substantially increase the share of renewable energy in the global energy mix

    TargetPrimaryHigh confidenceJudged

    Machine learning classification for optimizing porous ceramic matrix burner operation supporting clean energy technology and combustion efficiency in heating systems.

    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

  2. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetSecondaryModerate confidenceJudged

    Research methodology comparing discriminant analysis and neural networks for modeling physical systems with thermal energy transfer applications.

    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

  3. 17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing

    TargetSecondaryHigh confidenceRule-derivedrule sdg17-structural-v1

    Structural signal: co-authorship outside India.

    Rule-derived
    Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
    Produced by
    sdg17-structural-v1, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-2.5 Green economy, energy transition and climate resilience

    Sub-themePrimaryModerate confidenceJudged

    Efficient combustion technology research contributes to energy efficiency improvements in thermal systems.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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Citing this record

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KIIT Deemed to be University. “Comparison of discriminant analysis coupled with principal component analysis (PCA-DA) and back propagation neural network (BPNN) as classification model for decision support system in porous ceramic matrix (PCM) based burner”. Kortex.

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