# Low Cost Sensor With IoT LoRaWAN Connectivity and Machine Learning-Based Calibration for Air Pollution Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/low-cost-sensor-with-iot-lorawan-connectivity-and-machine-learning-based/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sharafat Ali,Tyrel Glass,Baden Parr,Johan Potgieter,Fakhrul Alam |
| Citations | 124 |
| DOI | 10.1109/tim.2020.3034109 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3095861697 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Johan Potgieter](https://scholariq.org/researchers/johan-potgieter/)

## Paper journal

- [IEEE Transactions on Instrumentation and Measurement](https://scholariq.org/journals/ieee-transactions-on-instrumentation-and-measurement/)

## 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/)
- [Gas Sensing Nanomaterials and Sensors](https://scholariq.org/topics/gas-sensing-nanomaterials-and-sensors/)

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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.