In Situ Calibration Algorithms for Environmental Sensor Networks: A Review
The recent developments in both nanotechnologies and wireless technologies have
enabled the rise of small, low-cost and energy-efficient environmental sensing devices …
enabled the rise of small, low-cost and energy-efficient environmental sensing devices …
A survey on sensor calibration in air pollution monitoring deployments
Air pollution is a major concern for public health and urban environments. Conventional air
pollution monitoring systems install a few highly accurate, expensive stations at …
pollution monitoring systems install a few highly accurate, expensive stations at …
Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown
S Wang, Y Ma, Z Wang, L Wang, X Chi… - Atmospheric …, 2021 - acp.copernicus.org
The development of low-cost sensors and novel calibration algorithms provides new hints to
complement conventional ground-based observation sites to evaluate the spatial and …
complement conventional ground-based observation sites to evaluate the spatial and …
Low-cost CO sensor calibration using one dimensional convolutional neural network
The advent of cost-effective sensors and the rise of the Internet of Things (IoT) presents the
opportunity to monitor urban pollution at a high spatio-temporal resolution. However, these …
opportunity to monitor urban pollution at a high spatio-temporal resolution. However, these …
A variational Bayesian blind calibration approach for air quality sensor deployments
G Li, Z Wu, N Liu, X Liu, Y Wang… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Air pollution has become a global threat to urban environments and public health. Low-cost
air quality sensor systems have been deployed to support fine-grained monitoring, and in …
air quality sensor systems have been deployed to support fine-grained monitoring, and in …
Leveraging Temporal Information to Improve Machine Learning-Based Calibration Techniques for Low-Cost Air Quality Sensors
Low-cost ambient sensors have been identified as a promising technology for monitoring air
pollution at a high spatio-temporal resolution. However, the pollutant data captured by these …
pollution at a high spatio-temporal resolution. However, the pollutant data captured by these …
Calibrating Low-cost Environmental Sensors Using Optimised Artificial Neural Networks
T Arafin, A Hosen… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Low-cost sensors play a vital role in diverse applications, yet their accuracy limitations
hinder widespread adoption. To address this problem, this study proposes a calibration …
hinder widespread adoption. To address this problem, this study proposes a calibration …
Machine learning based calibration techniques for low-cost air quality sensors: thesis for Doctor of Philosophy, Electronic and Computer Engineering, Massey …
MS Ali - 2024 - mro.massey.ac.nz
Breathable air is the single most essential element for life on earth. Polluted air poses
numerous risks to health and the environment, especially in urban areas with large …
numerous risks to health and the environment, especially in urban areas with large …
Air Quality Sensor Calibration and Its Peculiarities
B Maag - 2019 - research-collection.ethz.ch
Air pollution can have devastating effects on human health and the environment and is one
of the most challenging environmental burdens we face as a modern society. Monitoring air …
of the most challenging environmental burdens we face as a modern society. Monitoring air …