Abstract | ||
---|---|---|
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 raised a series of concerns for public health. As a result, a number of large-scale, low cost PM2.5 monitoring systems have been deployed in several international smart city projects. One of the major challenges for... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/JIOT.2017.2766085 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Anomaly detection,Sensors,Monitoring,Atmospheric measurements,Smart cities,Pollution measurement | Anomaly detection,Airbox,Data quality,Ranking,Computer science,Data stream,Outlier,Real-time computing,Air quality index,Smart city,Distributed computing | Journal |
Volume | Issue | ISSN |
5 | 2 | 2327-4662 |
Citations | PageRank | References |
10 | 0.94 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ling-Jyh Chen | 1 | 759 | 78.81 |
Yao Hua Ho | 2 | 84 | 13.79 |
Hsin-Hung Hsieh | 3 | 15 | 1.76 |
Shih-Ting Huang | 4 | 70 | 8.56 |
Hu-Cheng Lee | 5 | 18 | 3.50 |
Sachit Mahajan | 6 | 14 | 5.20 |