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...

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Bibliographic Details
Main Authors: Kota Shiba, Ryo Tamura, Gaku Imamura, Genki Yoshikawa
Format: article
Language:EN
Published: Nature Portfolio 2017
Subjects:
R
Q
Online Access:https://doaj.org/article/caa34293246b47a493b506e5781a093d
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