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

Publication2021

An empirical development of hyper-tuned CNN using spotted hyena optimizer for bio-medical image classification

The record

Type
Publication
Date
1 July 2021
Level
International — held abroad
Journal
Journal of Natural Science Biology and Medicine
Volume
12
Issue
3
Pages
300-306
Published
1 July 2021
DOI
10.4103/jnsbm.jnsbm_12_3_5
Scopus ID
85119499000
ISSN
09769668
Authors
4
Open access
Yes
Citations
9
International co-authorship
Yes
Co-author countries
IN, KR

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. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    Hyper-tuned convolutional neural network using spotted hyena optimizer for brain MRI image classification demonstrates optimized deep learning for biomedical diagnosis.

    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. 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-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    AI-based medical image classification enables early and accurate disease detection, improving health outcomes through enhanced diagnostic capabilities for healthcare.

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

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KIIT Deemed to be University. “An empirical development of hyper-tuned CNN using spotted hyena optimizer for bio-medical image classification”. Kortex.

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An empirical development of hyper-tuned CNN using spotted hyena optimizer for bio-medical image classification · Kortex