GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices-Reference-Cited by-同舟云学术

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GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices

Published:2024-02 Issue: Volume:128 Page:107591
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Nguyen Anh Duy^ORCID,Phung Thu Hang^ORCID,Nguyen Thuy Dung^ORCID,Pham Huy Hieu^ORCID,Nguyen Kien^ORCID,Nguyen Phi Le^ORCID

Funder

Vingroup Joint Stock Company

Hanoi University of Science and Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference66 articles.

1. Long-term exposure to air pollution and asthma hospitalisations in older adults: a cohort study;Andersen;Thorax,2012

2. Stroke and long-term exposure to outdoor air pollution from nitrogen dioxide: a cohort study;Andersen;Stroke,2012

3. Dataset;Anon,2023

4. Evaluation of low-cost air quality sensor calibration models;Aula;ACM Trans. Sensor Netw.,2022

5. Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the ontario population health and environment cohort;Bai;Int. J. Cancer,2020

Cited by 1 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

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