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Calibrating chemical multisensory devices for real world applications: An in-depth comparison of quantitative machine learning approaches (2018)

First Author: De Vito S

Attributed to: High density sensor network system for air quality studies at Heathrow airport funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.snb.2017.07.155

Publication URI: http://dx.doi.org/10.1016/j.snb.2017.07.155

Type: Journal Article/Review

Parent Publication: Sensors and Actuators B: Chemical