📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Drift in a popular metal oxide sensor dataset reveals limitations for gas classification benchmarks (2022)

First Author: Dennler N

Attributed to: 2014217 NeuroNex: From Odor to Action - Discovering Principles of Olfactory-Guided Natural Behavior funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.snb.2022.131668

Publication URI: http://dx.doi.org/10.1016/j.snb.2022.131668

Type: Journal Article/Review

Parent Publication: Sensors and Actuators B: Chemical