# Forecasting Air Pollution Particulate Matter (PM2.5) Using Machine Learning Regression Models

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/forecasting-air-pollution-particulate-matter-pm2-5-using-machine-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Doreswamy,K S Harishkumar,Yogesh KM,Ibrahim Gad |
| Citations | 282 |
| DOI | 10.1016/j.procs.2020.04.221 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050920312060/pdf |
| OpenAlex ID | https://openalex.org/W3033154016 |
| Type | conference-paper |
| Year | 2020 |

## Paper authors

- [Ibrahim Gad](https://scholariq.org/researchers/ibrahim-gad/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Vehicle emissions and performance](https://scholariq.org/topics/vehicle-emissions-and-performance/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.