Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines

Research article (Energies, 2022) · cited 15× · AI/ML
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Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines

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Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines. Retrieved May 24, 2026, from https://4ort.xyz/entity/employing-gmdh-type-neural-network-and-signal-frequency-feature-extraction-approaches-for-detection-of-scale-thickness-i
MLA “Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/employing-gmdh-type-neural-network-and-signal-frequency-feature-extraction-approaches-for-detection-of-scale-thickness-i.
BibTeX @misc{4ortxyz_employing-gmdh-type-neural-network-and-signal-frequency-feature-extraction-approaches-for-detection-of-scale-thickness-i_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines}}, year = {2026}, url = {https://4ort.xyz/entity/employing-gmdh-type-neural-network-and-signal-frequency-feature-extraction-approaches-for-detection-of-scale-thickness-i}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Employing GMDH-Type Neural Network and Signal Frequency Feature Extraction Approaches for Detection of Scale Thickness inside Oil Pipelines — https://4ort.xyz/entity/employing-gmdh-type-neural-network-and-signal-frequency-feature-extraction-approaches-for-detection-of-scale-thickness-i (retrieved 2026-05-24)

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