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

Publication2024

Carnatic Classical Raga Identification Using Stacked Ensemble Learning Model

    The record

    Type
    Publication
    Date
    1 January 2024
    Level
    National
    Journal
    2024 1st International Conference on Cognitive Green and Ubiquitous Computing IC Cgu 2024
    Published
    1 January 2024
    DOI
    10.1109/ic-cgu58078.2024.10530796
    Scopus ID
    85195175434
    Authors
    4
    Open access
    No
    Citations
    6
    International co-authorship
    No
    Co-author countries
    IN

    Classification

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    Viksit Bharat @2047

    1. vb-1.6 Culture, heritage and the arts

      Sub-themePrimaryHigh confidenceJudged

      Computational music analysis of Carnatic classical ragas for culture preservation and heritage conservation using ensemble learning classification techniques.

      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

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    KIIT Deemed to be University. “Carnatic Classical Raga Identification Using Stacked Ensemble Learning Model”. Kortex.

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