# Data-Driven Machine Learning Calibration Propagation in A Hybrid Sensor Network for Air Quality Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-driven-machine-learning-calibration-propagation-in-a-hybrid-sensor-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ivan Vajs,Dejan Drajić,Zoran Čiča |
| Citations | 22 |
| DOI | 10.3390/s23052815 |
| Fields | Earth and Planetary Sciences,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1424-8220/23/5/2815/pdf?version=1678094943 |
| OpenAlex ID | https://openalex.org/W4323313995 |
| PMID | 36905019 |
| Type | article |
| Year | 2023 |

## 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/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Atmospheric chemistry and aerosols](https://scholariq.org/topics/atmospheric-chemistry-and-aerosols/)

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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.