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

Publication2021

Performance Analysis of Classifier Techniques at the Edge Node

The record

Type
Publication
Date
1 January 2021
Level
International — held abroad
Journal
Proceedings 2021 IEEE International Symposium on Smart Electronic Systems Ises 2021
Pages
432-437
Published
1 January 2021
DOI
10.1109/ises52644.2021.00103
Scopus ID
85126536302
Authors
3
Open access
No
Citations
3
International co-authorship
Yes
Co-author countries
AE, 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

  1. 9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

    GoalPrimaryModerate confidenceJudged

    Performance analysis of machine learning classifiers at edge computing nodes for smart home data processing demonstrates distributed computing optimization research.

    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.
    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. 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.

    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.
    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-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Edge computing technology development supports digital infrastructure advancement for IoT systems.

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

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KIIT Deemed to be University. “Performance Analysis of Classifier Techniques at the Edge Node”. Kortex.

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