Support Vector Machine and Random Forest processing approaches on HS-MS enose data for the discrimination of gasoline samples according to their RON
- José Luis P. Calle 1
- Marta Barea-Sepúlveda 1
- Marta Ferreiro-González 1
- Jesús Ayuso 1
- Miguel Palma Lobillo 1
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1
Universidad de Cádiz
info
Verlag: PROTEOMASS Scientific Society
ISBN: 978-989-53350-7-7
Datum der Publikation: 2022
Seiten: 113
Art: Konferenz-Beitrag