Are supervised learning algorithms the key to a paradigm shift in the way we measure air pollution?

Edwards, P. (Chair)

Chemistry

Activity: Talk or presentation › Invited talk

Period	4 Jul 2018
Held at	University of Sheffield, United Kingdom

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An improved low-power measurement of ambient NO ₂ and O ₃ combining electrochemical sensor clusters and machine learning
Research output: Contribution to journal › Article › peer-review
Clustering approaches to improve the performance of low cost air pollution sensors
Research output: Contribution to journal › Article › peer-review