Title
ADF: An Anomaly Detection Framework for Large-Scale PM2.5 Sensing Systems.
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 Chen175978.81
Yao Hua Ho28413.79
Hsin-Hung Hsieh3151.76
Shih-Ting Huang4708.56
Hu-Cheng Lee5183.50
Sachit Mahajan6145.20