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...

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Detalles Bibliográficos
Autores principales: Wardana, I Nyoman Kusuma, Gardner, Julian W., Fahmy, Suhaib A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7913936/
https://www.ncbi.nlm.nih.gov/pubmed/33557203
http://dx.doi.org/10.3390/s21041064

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