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

Publication2026

Adaptive weighted CEEMDAN-driven vibroacoustic augmentation and classification for precise, multiclass knee osteoarthritis assessment

The record

Type
Publication
Date
15 April 2026
Level
National
Journal
Biomedical Signal Processing and Control
Volume
115
Published
15 April 2026
DOI
10.1016/j.bspc.2025.109417
Scopus ID
105024759679
ISSN
17468094
Authors
4
Open access
No
Citations
2
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 3 Ensure healthy lives and promote well-being for all at all ages

    GoalPrimaryHigh confidenceJudged

    AWCEEMDAN framework for knee osteoarthritis assessment using vibroarthrographic signals improves diagnostic accuracy to 97% for multiclass OA severity staging.

    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-1 Empowered Indians

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. AWCEEMDAN framework for knee osteoarthritis assessment using vibroarthrographic signals improves diagnostic accuracy to 97% for multiclass OA severity staging.

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

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KIIT Deemed to be University. “Adaptive weighted CEEMDAN-driven vibroacoustic augmentation and classification for precise, multiclass knee osteoarthritis assessment”. Kortex.

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