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Deviation Prediction and Correction on Low-Cost Atmospheric Pressure Sensors Using a Machine-Learning Algorithm

AuthID
P-00R-ZFE

Author(s)

De Araújo, TC

Silva, LT

Moreira, AJC

Editor(es)

Ansari,N;Ahrens,A;Benavente Peces,C

Tipo de Documento

Proceedings Paper

Year published

2020

Publicado

in SENSORNETS 2020 - Proceedings of the 9th International Conference on Sensor Networks

Páginas: 41-51

Conference

9Th International Conference on Sensor Networks, Sensornets 2020, Date: 28 February 2020 through 29 February 2020, Patrocinadores: Institute for Systems and Technologies of Information, Control and Communication (INSTICC)

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Fontes

Publication Identifiers

DOI: 10.5220/0008968400410051

Handle: https://hdl.handle.net/1822/66226

SCOPUS: 2-s2.0-85082985325

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Deviation Prediction and Correction on Low-Cost Atmospheric Pressure Sensors Using a Machine-Learning Algorithm

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