Deviation prediction and correction on low-cost atmospheric pressure sensors using a machine-learning algorithm

The datasets used in this work are available in the Zenodo repository, with digital identifier (DOI) as 10.5281/zenodo.3560299.

Detalhes bibliográficos
Autor principal: de Araújo, Tiago C. (author)
Outros Autores: Silva, Lígia Torres (author), Moreira, Adriano (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2020
Assuntos:
Collaborative Sensing
Data Quality
Environmental Monitoring
Low-Cost Sensors
Machine Learning
Engenharia e Tecnologia::Engenharia dos Materiais
Science & Technology
Texto completo:http://hdl.handle.net/1822/66226
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/66226

Texto Completo

http://hdl.handle.net/1822/66226

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