# Developing Relative Humidity and Temperature Corrections for Low-Cost Sensors Using Machine Learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/developing-relative-humidity-and-temperature-corrections-for-low-cost-sensors/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ivan Vajs,Dejan Drajić,Nenad Gligorić,Ilija Radovanović,Ivan Popović |
| Citations | 43 |
| DOI | 10.3390/s21103338 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/21/10/3338/pdf?version=1620808037 |
| OpenAlex ID | https://openalex.org/W3160435185 |
| PMID | 34065017 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Ivan Vajs](https://scholariq.org/researchers/ivan-vajs/)

## Paper journal

- [Sensors](https://scholariq.org/journals/sensors/)

## 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.