Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odo...
Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Predicting odor impression is considered an important step towards measuring the quality of scent in the food, perfume, and cosmetic industries. In odor impression identification and classification, the main target is to predict scent impression while identifying non-target odor impressions are less significant. However, the effectiveness of predic...
Alternative Titles
Full title
Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_fc0e4ce4740649af853e4a50ac3e2578
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fc0e4ce4740649af853e4a50ac3e2578
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-07802-3
