The influence of machine learning technologies is rapidly increasing and penetrating almost
in every field, and air pollution prediction is not being excluded from those fields. This paper …

Current studies show that traditional deterministic models tend to struggle to capture the non-
linear relationship between the concentration of air pollutants and their sources of emission …

From the past few decades, it has been observed that the urbanization and industrialization
are expanding in the developed nations and are confronting the overwhelming air …

In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …

The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …

Air pollution is considered one of the biggest threats for the ecological system and human
existence. Therefore, air quality monitoring has become a necessity in urban and industrial …

Due to serious health concerns, atmospheric pollution has become a major basis of
premature mortality among general public by causing millions of deaths each year (WHO …

The unprecedented urban growth of recent years requires improved urban planning and
management to make urban spaces more inclusive, safe, resilient and sustainable …

Smart cities connect people and places using innovative technologies such as Data Mining
(DM), Machine Learning (ML), big data, and the Internet of Things (IoT). This paper presents …

Accurate prediction of mercury content emitted from fossil-fueled power stations is of the
utmost importance for environmental pollution assessment and hazard mitigation. In this …