Работы, цитирующие эту работу

Работ: 2

Работа: Versatile machine learning algorithms for FTIR spectroscopy: differentiating crosslinked and non-crosslinked gelatin samples

1. A Concentration-Invariant FTIR Chemometric Workflow with Peak-Sparse Representation and Machine-Learning Classification

   Otabek Atabaev, Moulay Rachid Babaa, Shakhzodbek Samandarov +1

   ПрепринтSpectroscopy and Chemometric AnalysesResearch Square2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.preprint.000029

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

   Otabek Atabaev, Moulay Rachid Babaa, Shakhzodbek Samandarov +1

   СтатьяSpectroscopy and Chemometric AnalysesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.010268