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An improved weighted one class support vector machine for turboshaft engine fault detection

Research article (Engineering Applications of Artificial Intelligence, 2020) · cited 71× · AI/ML
academia openalex:W3043609702
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An improved weighted one class support vector machine for turboshaft engine fault detection

Summary

An improved weighted one class support vector machine for turboshaft engine fault detection is a scholarly article[1].

Key Facts

  • An improved weighted one class support vector machine for turboshaft engine fault detection's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An improved weighted one class support vector machine for turboshaft engine fault detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-improved-weighted-one-class-support-vector-machine-for-turboshaft-engine-fault-detection
MLA “An improved weighted one class support vector machine for turboshaft engine fault detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-improved-weighted-one-class-support-vector-machine-for-turboshaft-engine-fault-detection.
BibTeX @misc{4ortxyz_an-improved-weighted-one-class-support-vector-machine-for-turboshaft-engine-fault-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An improved weighted one class support vector machine for turboshaft engine fault detection}}, year = {2026}, url = {https://4ort.xyz/entity/an-improved-weighted-one-class-support-vector-machine-for-turboshaft-engine-fault-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An improved weighted one class support vector machine for turboshaft engine fault detection — https://4ort.xyz/entity/an-improved-weighted-one-class-support-vector-machine-for-turboshaft-engine-fault-detection (retrieved 2026-05-24)

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