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

Publication2025

Sparsity based Adaptive BCS color image compression for IoT and WSN Application

The record

Type
Publication
Date
1 August 2025
Level
National
Journal
Signal Image and Video Processing
Volume
19
Issue
8
Published
1 August 2025
DOI
10.1007/s11760-025-04224-2
Scopus ID
105006762619
ISSN
18631703
Authors
3
Open access
No
Citations
1
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Compressive sensing algorithm design for image compression in IoT/WSN applications advances signal processing research.

    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

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryModerate confidenceJudged

    Adaptive compression techniques for IoT systems support efficient digital infrastructure development.

    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. “Sparsity based Adaptive BCS color image compression for IoT and WSN Application”. Kortex.

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