HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials
Summary
HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials is a scholarly article[1].
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HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials. Retrieved May 24, 2026, from https://4ort.xyz/entity/hyperpca-a-powerful-tool-to-extract-elemental-maps-from-noisy-data-obtained-in-libs-mapping-of-materials
MLA“HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hyperpca-a-powerful-tool-to-extract-elemental-maps-from-noisy-data-obtained-in-libs-mapping-of-materials.
BibTeX@misc{4ortxyz_hyperpca-a-powerful-tool-to-extract-elemental-maps-from-noisy-data-obtained-in-libs-mapping-of-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials}}, year = {2026}, url = {https://4ort.xyz/entity/hyperpca-a-powerful-tool-to-extract-elemental-maps-from-noisy-data-obtained-in-libs-mapping-of-materials}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HyperPCA: A powerful tool to extract elemental maps from noisy data obtained in LIBS mapping of materials — https://4ort.xyz/entity/hyperpca-a-powerful-tool-to-extract-elemental-maps-from-noisy-data-obtained-in-libs-mapping-of-materials (retrieved 2026-05-24)
