Data Analytics for Home Air Quality Monitoring

Petya Mihaylova; Agata Manolova; Petia Georgieva

Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings

Research Article

Data Analytics for Home Air Quality Monitoring

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@INPROCEEDINGS{10.1007/978-3-030-23976-3_8,
    author={Petya Mihaylova and Agata Manolova and Petia Georgieva},
    title={Data Analytics for Home Air Quality Monitoring},
    proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings},
    proceedings_a={FABULOUS},
    year={2019},
    month={9},
    keywords={Indoor air quality Data analytics Neural network Deep Autoencoder Neural Network},
    doi={10.1007/978-3-030-23976-3_8}
}

Petya Mihaylova
Agata Manolova
Petia Georgieva
Year: 2019
Data Analytics for Home Air Quality Monitoring
FABULOUS
Springer
DOI: 10.1007/978-3-030-23976-3_8

Petya Mihaylova¹, Agata Manolova¹^,*, Petia Georgieva²

1: Technical University of Sofia
2: University of Aveiro

*Contact email: amanolova@tu-sofia.bg

Abstract

Modern air quality monitoring systems are characterised by high complexity and costs. The expensive embedded units such as sensor arrays, processors, power blocks, displays and communication units make them less appropriate for small indoor spaces.

Keywords: Indoor air quality Data analytics Neural network Deep Autoencoder Neural Network

Published: 2019-09-17
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-23976-3_8