Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting. (arXiv:2211.05267v1 [cs.LG])

Real-time air pollution monitoring is a valuable tool for public health and
environmental surveillance. In recent years, there has been a dramatic increase
in air pollution forecasting and monitoring research using artificial neural
networks (ANNs). Most of the prior work relied on modeling pollutant
concentrations collected from ground-based monitors and meteorological data for
long-term forecasting of outdoor ozone, oxides of nitrogen, and PM2.5. Given
that traditional, highly sophisticated air quality monitors are expensive and
are not universally available, these models …

arxiv deep learning forecasting monitoring pollution search series time series time series forecasting web