A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management
- DOI
- 10.1186/s42834-026-00296-y
- Published
- 7
- Container
- Sustainable Environment Research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s42834-026-00296-y,
title = {A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management},
author = {Salvator Lawrence and Srimuruganandam Bhathmanabhan},
year = {2026},
journal = {Sustainable Environment Research},
doi = {10.1186/s42834-026-00296-y},
url = {https://doi.org/10.1186/s42834-026-00296-y}
}RIS
TY - JOUR TI - A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management AU - Salvator Lawrence AU - Srimuruganandam Bhathmanabhan PY - 2026 JO - Sustainable Environment Research DO - 10.1186/s42834-026-00296-y UR - https://doi.org/10.1186/s42834-026-00296-y ER -
APA
Lawrence, S., & Bhathmanabhan, S. (2026). A robust and uncertainty-aware machine learning framework for PM2.5 prediction in a coastal urban Indian environment: implications for sustainable air quality management. Sustainable Environment Research. https://doi.org/10.1186/s42834-026-00296-y
Source records
- doaj · retrieved 2026-09-25T15:28:20.035Z