Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …
climate change. The paper provides a perspective regarding the opportunity available in …
A review of low-cost particulate matter sensors from the developers' perspectives
The concerns related to particulate matter's health effects alongside the increasing demands
from citizens for more participatory, timely, and diffused air quality monitoring actions have …
from citizens for more participatory, timely, and diffused air quality monitoring actions have …
Wildfire smoke impacts on indoor air quality assessed using crowdsourced data in California
Y Liang, D Sengupta, MJ Campmier… - Proceedings of the …, 2021 - National Acad Sciences
Wildfires have become an important source of particulate matter (PM2. 5< 2.5-µm diameter),
leading to unhealthy air quality index occurrences in the western United States. Since …
leading to unhealthy air quality index occurrences in the western United States. Since …
Evaluation of nine machine learning regression algorithms for calibration of low-cost PM2. 5 sensor
Low-cost sensors (LCS) can construct a high spatial and temporal resolution PM 2.5 network
but are affected by environmental parameters such as relative humidity and temperature …
but are affected by environmental parameters such as relative humidity and temperature …
Examination of monitoring approaches for ambient air pollution: A case study for India
India faces one of the highest disease burdens from air pollution in the world, with an
estimated 100% of the population living in areas with PM 2.5 concentrations above the …
estimated 100% of the population living in areas with PM 2.5 concentrations above the …
Estimating ground-level PM2. 5 using micro-satellite images by a convolutional neural network and random forest approach
PM 2.5 poses a serious threat to public health, however its spatial concentrations are not
well characterized due to the sparseness of regulatory air quality monitoring (AQM) stations …
well characterized due to the sparseness of regulatory air quality monitoring (AQM) stations …
[HTML][HTML] Improving accuracy of air pollution exposure measurements: Statistical correction of a municipal low-cost airborne particulate matter sensor network
EM Considine, CE Reid, MR Ogletree, T Dye - Environmental Pollution, 2021 - Elsevier
Low-cost air quality sensors can help increase spatial and temporal resolution of air
pollution exposure measurements. These sensors, however, most often produce data of …
pollution exposure measurements. These sensors, however, most often produce data of …
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
In this paper we evaluate characteristics of three optical particulate matter sensors/sizers
(OPS): high-end spectrometer 11-D (Grimm, Germany), low-cost sensor OPC-N2 …
(OPS): high-end spectrometer 11-D (Grimm, Germany), low-cost sensor OPC-N2 …
Airdelhi: Fine-grained spatio-temporal particulate matter dataset from delhi for ml based modeling
Air pollution poses serious health concerns in develo** countries, such as India,
necessitating large-scale measurement for correlation analysis, policy recommendations …
necessitating large-scale measurement for correlation analysis, policy recommendations …
Domain Adaptation-Based Deep Calibration of Low-Cost PM₂. ₅ Sensors
Air pollution is a severe problem growing over time. A dense air-quality monitoring network
is needed to update the people regarding the air pollution status in cities. A low-cost sensor …
is needed to update the people regarding the air pollution status in cities. A low-cost sensor …