Ontology highlight
ABSTRACT:
SUBMITTER: Fischetti G
PROVIDER: S-EPMC9874632 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Fischetti Giulia G Schmid Nicolas N Bruderer Simon S Caldarelli Guido G Scarso Alessandro A Henrici Andreas A Wilhelm Dirk D
Frontiers in artificial intelligence 20230111
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 classification of multiplets in <sup>1</sup>H NMR spectra. Our deep neural network was trained on a large number of synthetic spectra, with complete control over the features represented in the samples. W ...[more]