An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms

Research article (ISA Transactions, 2020) · cited 36× · AI/ML
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An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms

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An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimal-filter-length-selection-method-for-med-based-on-autocorrelation-energy-and-genetic-algorithms
MLA “An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimal-filter-length-selection-method-for-med-based-on-autocorrelation-energy-and-genetic-algorithms.
BibTeX @misc{4ortxyz_an-optimal-filter-length-selection-method-for-med-based-on-autocorrelation-energy-and-genetic-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimal-filter-length-selection-method-for-med-based-on-autocorrelation-energy-and-genetic-algorithms}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An optimal filter length selection method for MED based on autocorrelation energy and genetic algorithms — https://4ort.xyz/entity/an-optimal-filter-length-selection-method-for-med-based-on-autocorrelation-energy-and-genetic-algorithms (retrieved 2026-05-24)

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