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Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification
Research article (PLoS ONE, 2024) · cited 34× · AI/ML
Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification
Summary
Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification is a scholarly article[1].
Key Facts
Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/harnessing-fluorescent-carbon-quantum-dots-from-natural-resource-for-advancing-sweat-latent-fingerprint-recognition-with
MLA“Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harnessing-fluorescent-carbon-quantum-dots-from-natural-resource-for-advancing-sweat-latent-fingerprint-recognition-with.
BibTeX@misc{4ortxyz_harnessing-fluorescent-carbon-quantum-dots-from-natural-resource-for-advancing-sweat-latent-fingerprint-recognition-with_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification}}, year = {2026}, url = {https://4ort.xyz/entity/harnessing-fluorescent-carbon-quantum-dots-from-natural-resource-for-advancing-sweat-latent-fingerprint-recognition-with}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Harnessing fluorescent carbon quantum dots from natural resource for advancing sweat latent fingerprint recognition with machine learning algorithms for enhanced human identification — https://4ort.xyz/entity/harnessing-fluorescent-carbon-quantum-dots-from-natural-resource-for-advancing-sweat-latent-fingerprint-recognition-with (retrieved 2026-05-24)
