A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation
Summary
A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation is a scholarly article[1].
Key Facts
A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-high-dimensional-and-small-sample-submersible-fault-detection-method-based-on-feature-selection-and-data-augmentation
MLA“A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-high-dimensional-and-small-sample-submersible-fault-detection-method-based-on-feature-selection-and-data-augmentation.
BibTeX@misc{4ortxyz_a-high-dimensional-and-small-sample-submersible-fault-detection-method-based-on-feature-selection-and-data-augmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/a-high-dimensional-and-small-sample-submersible-fault-detection-method-based-on-feature-selection-and-data-augmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A High-Dimensional and Small-Sample Submersible Fault Detection Method Based on Feature Selection and Data Augmentation — https://4ort.xyz/entity/a-high-dimensional-and-small-sample-submersible-fault-detection-method-based-on-feature-selection-and-data-augmentation (retrieved 2026-05-24)
