A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management
Salvator Lawrence, Srimuruganandam Bhathmanabhan • Sustainable Environment Research
(2026)
Abstract Accurate prediction of fine particulate matter (PM2.5) remains challenging because atmospheric processes are nonlinear, nonstationary, and influenced by temporal variability, measurement uncertainty, and episodic pollution events. ...
DOAJ
Open Access (DOAJ)
DOI:
10.1186/s42834-026-00296-y