The data set was created by recording the gas concentrations in the air at a time interval. These data are used to estimate the changes in air quality. Three ...
It is observed that time series analysis is sufficient to estimate air quality. With the expansion of the data size, data mining techniques are gaining more ...
Abstract— With the expansion of the data size, data mining techniques are gaining more and more importance. Data mining.
This dataset was supported by a long-term on-road air quality dataset (June 2002–August 2003). Both datasets were obtained using the Mobile Real-time Air ...
Time-series analysis of air pollution environmental levels involves the identification of long-term variation in the mean (trend) and of cyclical or periodic ...
Aug 15, 2024 · In this article, we'll leverage air quality data from the openaq project (https://openaq.org/) to build multivariate time-series models to forecast air quality.
The paper is devoted to the development of a statistical framework for air quality assessment at the country level and for the evaluation of the ambient ...
Oct 1, 2024 · The time series characteristics of AQI indicate that past air quality impacts future air quality, showing a certain trend and periodicity. ...
This dataset contains modeled temperature, ozone, and PM2.5 data for the United States over the 21st century, using two global climate model scenarios and two..
A Hong Kong weather data set ... The data include mean month temperature, relative humidity, rainfall and wind speed. Table 2 lists the major weather ...