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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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Annotatsiya mavjud emas.

Mavzular

Spectroscopy and Chemometric Analyses Remote-Sensing Image Classification Spectroscopy Techniques in Biomedical and Chemical Research

Identifikatorlar

DOI: 10.1007/s11696-026-04796-4

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