Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction-Reference-Cited by-同舟云学术

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Field calibration of low-cost particulate matter sensors using artificial neural networks and affine response correction

Published:2024-05 Issue: Volume:230 Page:114529
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Koziel Slawomir^ORCID,Pietrenko-Dabrowska Anna,Wojcikowski Marek^ORCID,Pankiewicz Bogdan^ORCID

Funder

National Centre for Research and Development

RANNÍS

Publisher

Elsevier BV

Reference80 articles.

1. “Cardiovascular disease burden from ambient air pollution in Europe reassessed using novel hazard ratio functions;Lelieveld;Eur. Heart J.,2019

2. Premature mortality due to air pollution in european cities: a health impact assessment;Khomenko;Lancet,2021

3. “Air quality in Europe 2022,” Report no. 05/2022, European Environment Agency, doi: 10.2800/488115, 2022.

4. Air pollution in Europe;Koolen;Chem.-Susta.-Energy-Mater.,2018

5. Deciphering the code between air pollution and disease: the effect of particulate matter on cancer hallmarks;Santibanez-Andrade;Mol. Sci.,2020

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1. Assessment of vertical transport of PM in a surface iron ore mine due to in-pit mining operations;Measurement;2025-01

2. Optimisation of the adaptive neuro-fuzzy inference system for adjusting low-cost sensors PM concentrations;Ecological Informatics;2024-11

3. Design and Enhancement of a Fog-Enabled Air Quality Monitoring and Prediction System: An Optimized Lightweight Deep Learning Model for a Smart Fog Environmental Gateway;Sensors;2024-08-05

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