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Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets

Research article (Applied Spectroscopy, 2017) · cited 27× · AI/ML
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Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets

Summary

Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets is a scholarly article[1].

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  • Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets's instance of is recorded as scholarly article[2].

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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). Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/smooth-factor-analysis-sfa-to-effectively-remove-high-levels-of-noise-from-spectral-data-sets
MLA “Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/smooth-factor-analysis-sfa-to-effectively-remove-high-levels-of-noise-from-spectral-data-sets.
BibTeX @misc{4ortxyz_smooth-factor-analysis-sfa-to-effectively-remove-high-levels-of-noise-from-spectral-data-sets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets}}, year = {2026}, url = {https://4ort.xyz/entity/smooth-factor-analysis-sfa-to-effectively-remove-high-levels-of-noise-from-spectral-data-sets}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Smooth Factor Analysis (SFA) to Effectively Remove High Levels of Noise from Spectral Data Sets — https://4ort.xyz/entity/smooth-factor-analysis-sfa-to-effectively-remove-high-levels-of-noise-from-spectral-data-sets (retrieved 2026-05-24)

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