Concept Drift Mitigation in Low-Cost Air Quality Monitoring Networks
Future air quality monitoring networks will include fleets of low-cost gas and particulate matter sensors calibrated using machine learning techniques. Unfortunately, it is well known that concept drift is one of the primary causes of losses in data quality in operational scenarios. This work focuse...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-03-01
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| coleção: | Proceedings |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2504-3900/97/1/2 |
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