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

Publication2026

Energy Efficient Approximate Adder Architecture for Breast Cancer Image Processing Application

The record

Type
Publication
Date
1 January 2026
Level
International — held abroad
Journal
Proceedings of the 18th International Conference on Electronics Computers and Artificial Intelligence Ecai 2026
Published
1 January 2026
DOI
10.1109/ecai69016.2026.11613834
Scopus ID
105046623510
Authors
9
Open access
No
Citations
0
International co-authorship
Yes
Co-author countries
IN, RO

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

    Develops energy-efficient approximate adder circuits optimized for breast cancer image processing, achieving low power consumption of 1.0036 μW suitable for biomedical applications.

    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-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Designs specialized digital hardware using approximate computing techniques for medical image processing, advancing low-power computational technology for healthcare diagnostic 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

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KIIT Deemed to be University. “Energy Efficient Approximate Adder Architecture for Breast Cancer Image Processing Application”. Kortex.

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