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A concentration-invariant FTIR chemometric workflow for closed-library compound identification with peak-sparse representation and machine-learning classification

Otabek AtabaevChemical & Materials Engineering Department, New Uzbekistan University, Tashkent, 100007, UzbekistanMoulay Rachid BabaaArts et Métiers Campus of Rabat (EAMR), Parc Technopolis, Sala Al Jadida, 11100, MoroccoShakhzodbek SamandarovChemical & Materials Engineering Department, New Uzbekistan University, Tashkent, 100007, UzbekistanAsadbek TajimuratovChemical & Materials Engineering Department, New Uzbekistan University, Tashkent, 100007, Uzbekistan
Chemical Papersjournal2026en
ABI

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Topics

Spectroscopy and Chemometric AnalysesRemote-Sensing Image ClassificationSpectroscopy Techniques in Biomedical and Chemical Research

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DOI
10.1007/s11696-026-04796-4

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Cited by 018 references
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