Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment-Reference-Cited by-同舟云学术

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Efficient calibration of cost-efficient particulate matter sensors using machine learning and time-series alignment

Published:2024-07 Issue: Volume:295 Page:111879
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

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

Funder

National Centre for Research and Development

RANNÍS

Publisher

Elsevier BV

Reference70 articles.

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

2. Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease,2016

3. Air Quality in Europe 2022,2022

4. The carcinogenicity of outdoor air pollution;Loomis;Lancet Oncol.,2013

5. The health effects of ambient PM2.5 and potential mechanisms;Feng;Ecotoxicol. Environ. Saf.,2016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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

2. 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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