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Open AccessJournal ArticleDOI

Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

TLDR
An exhaustive evaluation of 24 identical units of a commercial low-cost sensor platform against CEN (European Standardization Organization) reference analyzers, evaluating their measurement capability over time and a range of environmental conditions shows that their performance varies spatially and temporally.
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This article is published in Environment International.The article was published on 2017-02-01 and is currently open access. It has received 607 citations till now. The article focuses on the topics: Data quality & Environmental exposure.

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MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors.

TL;DR: In this paper, a multi-task calibration network (MTNet) is proposed to calibrate multiple sensors simultaneously, modeling the interactions among tasks, including carbon monoxide and nitrogen oxide sensors.
Journal ArticleDOI

Quantitative Analysis for Application Specific Calibration Approaches for Low-Cost Sensors for Air Quality Monitoring

TL;DR: In this article , the authors focus on finding a better calibration model for a given application by analyzing the possible error sources in each application and the corresponding techniques to counteract them, and assign weights/scores to each parameter based on their analysis.
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Spatial Prediction of Air Pollution Parameter NOx based on GMDH-type Neural Network

TL;DR: In this article , different machine learning regression methods are used to establish a mathematical relationship between air pollutants and meteorological factors from four AQMS (A-D) located between Çerkezköy and Süleymanpaşa, Tekirdağ.
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Deployment and Evaluation of a Network of Open Low-Cost Air Quality Sensor Systems

TL;DR: In this paper , the authors report on their experience with a small network of open low-cost sensor systems for air quality, which was deployed in the region of Stavanger, Norway, under Nordic winter conditions.
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An Automated, Self-Powered, and Integrated Analytical Platform for On-Line and In Situ Air Quality Monitoring

TL;DR: A low-cost, automated, self-powered analytical platform to determine the hourly levels of O3 and NO2 in urban atmospheres is presented in this article , using two Arduino Uno boards and fed with a portable battery recharged with a solar panel.
References
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Journal ArticleDOI

Toxic Potential of Materials at the Nanolevel

TL;DR: The establishment of principles and test procedures to ensure safe manufacture and use of nanomaterials in the marketplace is urgently required and achievable.
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Respiratory effects are associated with the number of ultrafine particles.

TL;DR: The present study suggests that the size distribution of ambient particles helps to elucidate the properties of ambient aerosols responsible for health effects.
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The Changing Paradigm of Air Pollution Monitoring

TL;DR: Air pollution monitoring paradigm is rapidly changing due to recent advances in the development of portable, lower-cost air pollution sensors reporting data in near-real time at a high-time resolution, increased computational and visualization capabilities, and wireless communication/infrastructure.
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The use of electrochemical sensors for monitoring urban air quality in low-cost, high-density networks

TL;DR: It is shown that miniature, low-cost electrochemical gas sensors can, when suitably configured and operated, be used for parts-per-billion level studies for gases relevant to urban air quality, and that measurement networks with higher resolution are required to quantify air quality at the scales which are present in the urban environment.
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