Data-driven nanomechanical sensing: specific information extraction from a complex system

Abstract Smells are known to be composed of thousands of chemicals with various concentrations, and thus, the extraction of specific information from such a complex system is still challenging. Herein, we report for the first time that the nanomechanical sensing combined with machine learning realiz...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Kota Shiba, Ryo Tamura, Gaku Imamura, Genki Yoshikawa
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
Materias:
R
Q
Acceso en línea:https://doaj.org/article/caa34293246b47a493b506e5781a093d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares