# A Hybrid Spatiotemporal Deep Model Based on CNN and LSTM for Air Pollution Prediction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-hybrid-spatiotemporal-deep-model-based-on-cnn-and-lstm-for-air-pollution/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Stefan Tsokov,Milena Lazarova,Adelina Aleksieva-Petrova |
| Citations | 82 |
| DOI | 10.3390/su14095104 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/14/9/5104/pdf?version=1650946238 |
| OpenAlex ID | https://openalex.org/W4224314544 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Milena Lazarova](https://scholariq.org/researchers/milena-lazarova/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## 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.