Ramesh Kumar

Suitability of Machine Learning Models and their Performance for PM2.5 Estimation using high-resolution satellite-driven datasets over Northwest India

The estimation of particulate matter (PM2.5) levels using high-resolution satellite-driven datasets and machine learning algorithms represents a potential advancement in air quality monitoring. The traditional ground-based PM2.5 measurements, while accurate, suffer from limited spatial coverage, prompting the need for...