End-user perspective of low-cost sensors for outdoor air pollution monitoring
Low-cost sensor technology can potentially revolutionise the area of air pollution monitoring
by providing high-density spatiotemporal pollution data. Such data can be utilised for …
by providing high-density spatiotemporal pollution data. Such data can be utilised for …
[HTML][HTML] Smart homes and the control of indoor air quality
A Schieweck, E Uhde, T Salthammer… - … and Sustainable Energy …, 2018 - Elsevier
Global climate change, demographic change and advancing mechanization of everyday life
will go along with new ways of living. Temperature extremes, an ageing society and higher …
will go along with new ways of living. Temperature extremes, an ageing society and higher …
Machine learning algorithms to forecast air quality: a survey
Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is
important to develop forecasting mechanisms that can be used by the authorities, so that …
important to develop forecasting mechanisms that can be used by the authorities, so that …
A sequence-to-sequence air quality predictor based on the n-step recurrent prediction
Increasingly, more people are suffering from the effects of air pollution. This study took
Beijing as an example and proposed an attention-based air quality predictor (AAQP) that …
Beijing as an example and proposed an attention-based air quality predictor (AAQP) that …
Development and application of a next generation air sensor network for the Hong Kong marathon 2015 air quality monitoring
L Sun, KC Wong, P Wei, S Ye, H Huang, F Yang… - Sensors, 2016 - mdpi.com
This study presents the development and evaluation of a next generation air monitoring
system with both laboratory and field tests. A multi-parameter algorithm was used to correct …
system with both laboratory and field tests. A multi-parameter algorithm was used to correct …
Multi-sensor fusion methodology for enhanced land vehicle positioning
X Li, W Chen, C Chan, B Li, X Song - Information Fusion, 2019 - Elsevier
It is a main challenge for land vehicles to achieve reliable and low-cost navigation solution
in various situations, especially when Global Positioning System (GPS) is not available. To …
in various situations, especially when Global Positioning System (GPS) is not available. To …
In search of an optimal in-field calibration method of low-cost gas sensors for ambient air pollutants: Comparison of linear, multilinear and artificial neural network …
The current compliance networks of automatic air-quality monitoring stations in large urban
environments are not sufficient to provide spatial and temporal measurement resolution for …
environments are not sufficient to provide spatial and temporal measurement resolution for …
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 …
On Memory-Based Precise Calibration of Cost-Efficient NO2 Sensor Using Artificial Intelligence and Global Response Correction
S Koziel, A Pietrenko-Dabrowska… - Knowledge-Based …, 2024 - Elsevier
Nitrogen dioxide (NO 2) is a prevalent air pollutant, particularly abundant in densely
populated urban regions. Given its harmful impact on health and the environment, precise …
populated urban regions. Given its harmful impact on health and the environment, precise …
Cost-Efficient measurement platform and machine-learning-based sensor calibration for precise NO2 pollution monitoring
Air quality significantly impacts human health, the environment, and the economy. Precise
real-time monitoring of air pollution is crucial for managing associated risks and developing …
real-time monitoring of air pollution is crucial for managing associated risks and developing …