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

Publication2022

PQD's Detection and Classification Under Normal and Noisy Conditions Based on RADWT & SVM Based Technique

The record

Type
Publication
Date
1 January 2022
Level
National
Journal
ICT Pep 2022 International Conference on Technology and Policy in Energy and Electric Power Advanced Technology for Transitioning to Sustainable Energy and Modern Power Systems Proceedings
Pages
117-122
Published
1 January 2022
DOI
10.1109/ict-pep57242.2022.9988829
Scopus ID
85146416021
Authors
6
Open access
No
Citations
5
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 7 Ensure access to affordable, reliable, sustainable and modern energy for all

    GoalPrimaryHigh confidenceJudged

    Develops detection and classification system for power quality disturbances using radial basis wavelet transform and support vector machine, improving electrical power distribution reliability

    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-2 Thriving and Sustainable Economy

    ThemePrimaryHigh confidenceJudged

    Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Develops detection and classification system for power quality disturbances using radial basis wavelet transform and support vector machine, improving electrical power distribution reliability

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

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KIIT Deemed to be University. “PQD's Detection and Classification Under Normal and Noisy Conditions Based on RADWT & SVM Based Technique”. Kortex.

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