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 …

Inadequate training data is a significant challenge for deep learning techniques, particularly
in applications where data is difficult to get, and publicly available datasets are uncommon …

In an era of rapidly advancing data-driven applications, there is a growing demand for data
in both research and practice. Synthetic data have emerged as an alternative when no real …

Monitoring Air Quality Index (AQI) provides comprehensive air quality and valuable
information about health risks and environmental impacts. The proliferation of IoT devices …

The rapid development of smart cities has led to the increasing demand for advanced
technologies that can effectively manage the vast amount of data generated by various …