Machine Learning-Enabled Intelligent Analysis of Surface-Enhanced Raman Scattering: Methods, Applications, and Perspectives.
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| Title: | Machine Learning-Enabled Intelligent Analysis of Surface-Enhanced Raman Scattering: Methods, Applications, and Perspectives. |
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| Authors: | Li Z; School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China., Wang Y; School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China., Deng Z; School of Intelligent Sports Engineering, Shanghai University of Sport, Shanghai 200438, China., Zhao J; Shanghai Institute of Doping Analyses, Shanghai University of Sport, Shanghai 200438, China. |
| Source: | Molecules (Basel, Switzerland) [Molecules] 2026 May 10; Vol. 31 (10). Date of Electronic Publication: 2026 May 10. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 100964009 Publication Model: Electronic Cited Medium: Internet ISSN: 1420-3049 (Electronic) Linking ISSN: 14203049 NLM ISO Abbreviation: Molecules Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1420-3049 |
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| DOI: | 10.3390/molecules31101599 |