Air pollution is a significant global environmental issue. Nevertheless, the importance of
rational urban planning in mitigating it is frequently disregarded. Conducting air quality …

In today's urban environments, accurately measuring and forecasting air pollution is crucial
for combating the effects of pollution. Machine learning (ML) is now a go-to method for …

Owing to climate change, industrial pollution, and population gathering, the air quality status
in many places in China is not optimal. The continuous deterioration of air-quality conditions …

In the field of sensors, in areas such as industrial, clinical, or environment, it is common to
find one dimensional (1D) formatted data (eg, electrocardiogram, temperature, power …

The continuous deterioration of air quality, the frequent occurrence and its following adverse
effects of air pollution incidents have caused continuous public concerns. Therefore …

Air quality forecasting has become an essential factor in facilitating sustainable development
worldwide. Several countries have implemented monitoring stations to collect air pollution …

Time series forecasting models are gaining traction in many real-world domains as valuable
decision support tools. Stock market analysis is a challenging domain, characterized by a …

As urban air pollution becomes a severe environmental and societal issue globally, there is
an increasing need on making air quality forecasts to prevent health and capital loss …

In order to address the challenge of accurately predicting nitrogen oxide (NOx) emission
from diesel engines in transient operation using traditional neural network models, this study …

Air pollution threatens worldwide human health, ecosystems, and climate change.
Transportation is a major contributor to air pollution. However, the link between …