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An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances

Research article (Uluslararası mühendislik araştırma ve geliştirme dergisi, 2018) · cited 10× · AI/ML
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An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances

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An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-dwt-and-ewt-feature-extraction-methods-for-classification-of-real-data-pq-disturbances
MLA “An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-dwt-and-ewt-feature-extraction-methods-for-classification-of-real-data-pq-disturbances.
BibTeX @misc{4ortxyz_an-efficient-dwt-and-ewt-feature-extraction-methods-for-classification-of-real-data-pq-disturbances_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient DWT and EWT Feature Extraction Methods for Classification of Real Data PQ Disturbances}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-dwt-and-ewt-feature-extraction-methods-for-classification-of-real-data-pq-disturbances}, note = {Accessed: 2026-05-24}}
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