Special Issue on Machine Learning Methods for Low-Cost Air Quality Evaluation and Prediction
EU funded project providing real time air quality monitoring through low cost - low consumption sensors based on nanotechnology with cloud system analysis.
NanoSen-AQM, air quality monitoring, nanosensors, low cost sensors, Interreg, Sudoe, nanotechnology, cloud, real time
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Special Issue on Machine Learning Methods for Low-Cost Air Quality Evaluation and Prediction

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Special Issue on Machine Learning Methods for Low-Cost Air Quality Evaluation and Prediction

14 April, 2021 | by |
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The journal Atmosphere (https://www.mdpi.com/journal/atmosphere) has launched a call for a Special Issue on Machine Learning Methods for Low-Cost Air Quality Evaluation and Prediction.

Beneficiaries, associates and external collaborators of the project NanoSen-AQM are encouraged and invited (link to submission invitation) to contribute to this Special Issue by submitting their contributions on any of the topics covered, in order to disseminate and share their knowledge and experience with the growing scientific and technical community in Air Quality.

Full information is available on the website dedicated to this Special Issue
(mdpi.com/si/82714). The deadline for the submission of manuscripts is 31 October 2021.



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