Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
architectural, engineering, and construction (AEC) sector. This systematic study aims to …

The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

An index for reporting air quality is called the air quality index (AQI). It measures the impact
of air pollution on a person's health over a short period of time. The purpose of the AQI is to …

Background The environment has been significantly impacted by rapid urbanization, leading
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …

Many heavy industrial cities in the world are suffered from serious air pollution problems
from stationary emission sources and the spatial patterns between the sources and the …

Advances made in the Internet of Things (IoT) and other disruptive technological trends,
including big data analytics and edge computing methods, have contributed enabling …

The world is in the cruel clutch of environmental pollution. Large-scale unplanned
developmental activities of man are increasing day by day which in turn is making the …

Air pollution is a serious problem over the globe. It could put human life in peril by bringing
on illness and occasionally even death. The purpose of air quality forecasting is to provide …

In this study, a Particle Swarm Optimization (PSO) framework for placing sensors in air
quality monitoring systems is introduced. Effective sensor deployment has become crucial …

Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate
its severe consequences. Our study introduces a novel Hyper Heuristic Multi-Chain Model …