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Optimising Deep Learning at the Edge for Accurate Hourly Air Quality Prediction
Accurate air quality monitoring requires processing of multi-dimensional, multi-location sensor data, which has previously been considered in centralised machine learning models. These are often unsuitable for resource-constrained edge devices. In this article, we address this challenge by: (1) desi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913936/ https://www.ncbi.nlm.nih.gov/pubmed/33557203 http://dx.doi.org/10.3390/s21041064 |