Raman spectrum identification based on the correlation score using the weighted segmental hit quality index

Research article (The Analyst, 2016) · cited 23× · AI/ML
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Raman spectrum identification based on the correlation score using the weighted segmental hit quality index

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Raman spectrum identification based on the correlation score using the weighted segmental hit quality index is a scholarly article[1].

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  • Raman spectrum identification based on the correlation score using the weighted segmental hit quality index's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Raman spectrum identification based on the correlation score using the weighted segmental hit quality index. Retrieved May 24, 2026, from https://4ort.xyz/entity/raman-spectrum-identification-based-on-the-correlation-score-using-the-weighted-segmental-hit-quality-index
MLA “Raman spectrum identification based on the correlation score using the weighted segmental hit quality index.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/raman-spectrum-identification-based-on-the-correlation-score-using-the-weighted-segmental-hit-quality-index.
BibTeX @misc{4ortxyz_raman-spectrum-identification-based-on-the-correlation-score-using-the-weighted-segmental-hit-quality-index_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Raman spectrum identification based on the correlation score using the weighted segmental hit quality index}}, year = {2026}, url = {https://4ort.xyz/entity/raman-spectrum-identification-based-on-the-correlation-score-using-the-weighted-segmental-hit-quality-index}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Raman spectrum identification based on the correlation score using the weighted segmental hit quality index — https://4ort.xyz/entity/raman-spectrum-identification-based-on-the-correlation-score-using-the-weighted-segmental-hit-quality-index (retrieved 2026-05-24)

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