Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Toward Automatic Air Quality Monitoring in Urban Environments-Reference-Cited by-同舟云学术

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Improving Data Quality of Low-Cost Light-Scattering PM Sensors: Toward Automatic Air Quality Monitoring in Urban Environments

Published:2024-09-01 Issue:17 Volume:11 Page:28409-28420
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Ramirez-Espinosa Gustavo¹^ORCID,Chiavassa Pietro²^ORCID,Giusto Edoardo³^ORCID,Quer Stefano²^ORCID,Montrucchio Bartolomeo²^ORCID,Rebaudengo Maurizio²^ORCID

Affiliation:

1. Department of Electronis Engineering, Pontificia Universidad Javeriana, Bogotá, Colombia

2. Department of Control and Computer Engineering, Politecnico di Torino, Turin, Italy

3. Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

Funder

Spoke 9 of the ICSC National Research Centre for High Performance Computing, Big Data and Quantum Computing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10539257.pdf?arnumber=10539257

Reference39 articles.

1. Measuring air pollution with low-cost sensors;Gerboles,2017

2. A Social Internet of Things Smart City Solution for Traffic and Pollution Monitoring in Cagliari

3. A social smart city for public and private mobility: A real case study

4. Canarin II: Designing a smart e-bike eco-system

5. On assessing the accuracy of air pollution models exploiting a strategic sensors deployment;Tse

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