An improved low-power measurement of ambient NO ₂ and O ₃ combining electrochemical sensor clusters and machine learning

Kate R. Smith, Peter M. Edwards^*, Peter D. Ivatt, James D. Lee, Freya Squires, Chengliang Dai, Richard E. Peltier, Mat J. Evans, Yele Sun, Alastair C. Lewis

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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A talk of two parts: NOx control of BVOC oxidation in the SE U.S. and Recent advances in the use of low cost sensors for atmospheric science
Edwards, P. (Chair)
23 Jan 2019
Activity: Talk or presentation › Invited talk
Are supervised learning algorithms the key to a paradigm shift in the way we measure air pollution?
Edwards, P. (Chair)
4 Jul 2018
Activity: Talk or presentation › Invited talk
Are supervised learning algorithms the key to a paradigm shift in the way we measure air pollution?
Edwards, P. (Chair)
14 Nov 2017
Activity: Talk or presentation › Invited talk