Anomaly detection and repairing for improving air quality monitoring
Clean air in cities improves our health and overall quality of life and helps fight climate
change and preserve our environment. High-resolution measures of pollutants' …
change and preserve our environment. High-resolution measures of pollutants' …
ADF: An anomaly detection framework for large-scale PM2. 5 sensing systems
As the population density continues to grow in the urban settings, air quality is degrading
and becoming a serious issue. Air pollution, especially fine particulate matter (PM2. 5), has …
and becoming a serious issue. Air pollution, especially fine particulate matter (PM2. 5), has …
Outlier detection and gap filling methodologies for low-cost air quality measurements
TB Ottosen, P Kumar - Environmental Science: Processes & Impacts, 2019 - pubs.rsc.org
Air pollution is a major environmental health problem around the world, which needs to be
monitored. In recent years, a new generation of low-cost air pollution sensors has emerged …
monitored. In recent years, a new generation of low-cost air pollution sensors has emerged …
SenseBoard: Sensor monitoring for air quality experts
Air quality monitoring is crucial within cities since air pollution is one of the main causes of
premature death in Europe. However, performing trustworthy monitoring of urban air quality …
premature death in Europe. However, performing trustworthy monitoring of urban air quality …
Low-cost outdoor air quality monitoring and sensor calibration: A survey and critical analysis
The significance of air pollution and the problems associated with it are fueling deployments
of air quality monitoring stations worldwide. The most common approach for air quality …
of air quality monitoring stations worldwide. The most common approach for air quality …
Air quality sensor network data acquisition, cleaning, visualization, and analytics: a real-world IoT use case
Monitoring and analyzing air quality is of primary importance to encourage more sustainable
lifestyles and plan corrective actions. This paper presents the design and end-to-end …
lifestyles and plan corrective actions. This paper presents the design and end-to-end …
Volterra graph-based outlier detection for air pollution sensor networks
P Ferrer-Cid, JM Barcelo-Ordinas… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Today's air pollution sensor networks pose new challenges given their heterogeneity of low-
cost sensors and high-cost instrumentation. Recently, with the advent of graph signal …
cost sensors and high-cost instrumentation. Recently, with the advent of graph signal …
CurrentSense: A novel approach for fault and drift detection in environmental IoT sensors
S Marathe, A Nambi, M Swaminathan… - Proceedings of the …, 2021 - dl.acm.org
Sensor data quality plays a fundamental role in increasing the adoption of IoT devices for
environmental data collection. Due to the nature of the deployment, ie, in-the-wild and in …
environmental data collection. Due to the nature of the deployment, ie, in-the-wild and in …
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 …
LSTM-autoencoder-based anomaly detection for indoor air quality time-series data
Anomaly detection for indoor air quality (IAQ) data has become an important area of
research as the quality of air is closely related to human health and well-being. However …
research as the quality of air is closely related to human health and well-being. However …