Air Quality Prediction Using Time Series Analysis

2020 ◽  
pp. 741-748
Author(s):  
S. Hepziba Lizzie ◽  
B. Senthil Kumar
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Time Series Analysis ◽  
Quality Prediction ◽  
Series Analysis ◽  
Air Quality Prediction

scholarly journals Health benefit of air quality improvement in Guangzhou, China: Results from a long time-series analysis (2006–2016)

2019 ◽  
Vol 126 ◽  
pp. 552-559 ◽  
Author(s):  
Rongshan Wu ◽  
Xiaoming Song ◽  
Duohong Chen ◽  
Liuju Zhong ◽  
Xiaoliang Huang ◽  
...  
Keyword(s):  
Time Series ◽  
Quality Improvement ◽  
Air Quality ◽  
Time Series Analysis ◽  
Health Benefit ◽  
Series Analysis ◽  
Long Time Series ◽  
Long Time ◽  
Air Quality Improvement

Time-series analysis of Riverside, California air quality data

1975 ◽  
Vol 9 (11) ◽  
pp. 978-989 ◽  
Author(s):  
D.P. Chock ◽  
T.R. Terrell ◽  
S.B. Levitt
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Time Series Analysis ◽  
Quality Data ◽  
Series Analysis ◽  
Air Quality Data

scholarly journals Time Series Analysis to Predict End-to-End Quality of Wireless Community Networks

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 578 ◽  
Author(s):  
Pere Millan ◽  
Carles Aliagas ◽  
Carlos Molina ◽  
Emmanouil Dimogerontakis ◽  
Roc Meseguer
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Social Impact ◽  
Internet Access ◽  
Community Networks ◽  
Prediction Algorithm ◽  
Quality Prediction ◽  
Series Analysis ◽  
End To End ◽  
The Impact

Community Networks have been around us for decades being initially deployed in the USA and Europe. They were designed by individuals to provide open and free “do it yourself” Internet access to other individuals in the same community and geographic area. In recent years, they have evolved as a viable solution to provide Internet access in developing countries and rural areas. Their social impact is measurable, as the community is provided with the right and opportunity of communication. Community networks combine wired and wireless links, and the nature of the wireless medium is unreliable. This poses several challenges to the routing protocol. For instance, Link-State routing protocols deal with End-to-End Quality tracking to select paths that maximize the delivery rate and minimize traffic congestion. In this work, we focused on End-to-End Quality prediction by means of time-series analysis to foresee which paths are more likely to change their quality. We show that it is possible to accurately predict End-to-End Quality with a small Mean Absolute Error in the routing layer of large-scale, distributed, and decentralized networks. In particular, we analyzed the path ETX behavior and properties to better identify the best prediction algorithm. We also analyzed the End-to-End Quality prediction accuracy some steps ahead in the future, as well as its dependency on the hour of the day. Besides, we quantified the computational cost of the prediction. Finally, we evaluated the impact of the usage for routing of our approach versus a simplified OLSR (ETX + Dijkstra) on an overloaded network.

scholarly journals Time Series Analysis of Venice Air Quality Data

1977 ◽  
Vol 10 (7) ◽  
pp. 295-300
Author(s):  
Paolo Zannetti ◽  
Giovanna Finzi ◽  
Giorgio Fronza ◽  
Sergio Rinaldi
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Time Series Analysis ◽  
Quality Data ◽  
Series Analysis ◽  
Air Quality Data

scholarly journals Time Series Analysis of Air Quality in Chennai city

2021 ◽  
Vol 1770 (1) ◽  
pp. 012106
Author(s):  
M. Nirmala ◽  
M. Mallika ◽  
M. Gomathi
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Chennai City

scholarly journals A time series forecasting based multi-criteria methodology for air quality prediction

2021 ◽  
Vol 113 ◽  
pp. 107850
Author(s):  
Raquel Espinosa ◽  
José Palma ◽  
Fernando Jiménez ◽  
Joanna Kamińska ◽  
Guido Sciavicco ◽  
...  
Keyword(s):  
Time Series ◽  
Air Quality ◽  
Time Series Forecasting ◽  
Quality Prediction ◽  
Air Quality Prediction

Short-term link quality prediction using nonparametric time series analysis

2015 ◽  
Vol 58 (8) ◽  
pp. 1-15 ◽  
Author(s):  
LiNa Weng ◽  
Ping Zhang ◽  
ZhiYong Feng ◽  
HongWei Cheng ◽  
Hao Lian ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Link Quality ◽  
Quality Prediction ◽  
Short Term ◽  
Series Analysis ◽  
Link Quality Prediction
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