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Automatic classification of signal regions in (1)H Nuclear Magnetic Resonance spectra

The identification and characterization of signal regions in Nuclear Magnetic Resonance (NMR) spectra is a challenging but crucial phase in the analysis and determination of complex chemical compounds. Here, we present a novel supervised deep learning approach to perform automatic detection and clas...

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Detalles Bibliográficos
Autores principales:	Fischetti, Giulia, Schmid, Nicolas, Bruderer, Simon, Caldarelli, Guido, Scarso, Alessandro, Henrici, Andreas, Wilhelm, Dirk
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9874632/ https://www.ncbi.nlm.nih.gov/pubmed/36714208 http://dx.doi.org/10.3389/frai.2022.1116416

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