Vol 39 No s8 Advances in Infrared Spectroscopy for Today's Spectroscopists PDF
Articles in this issue
Rapid Quantitative Method in the Determination of Total Flavonoids in Tibetan Medicine Meconopsis integrifolia (Maxim.) Franch. from Qinghai-Tibet Plateau by Near Infrared Spectroscopy
Examining the Cheese Ripening Process with Mid-Infrared and Synchronous Fluorescence Spectroscopy
A Review of the Latest Research Applications Using FT-IR Spectroscopy
Measuring Muscle Oxidation in Athletes with Near-Infrared Spectroscopy
Vol 39 No s8 Advances in Infrared Spectroscopy for Today's Spectroscopists PDF
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Next-Gen Mineral Identification: Fusing LIBS and Raman Spectroscopy with Machine Learning
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A pioneering study integrates laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy (RS) and applies machine learning (ML) to achieve exceptional accuracy in mineral identification. The combined approach not only leverages the strengths of both techniques but also enhances classification precision, achieving up to 98.4% accuracy.
