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Machine Learning-Based Calibration of Low-Cost Air Temperature Sensors Using Environmental Data

The measurement of air temperature is strongly influenced by environmental factors such as solar radiation, humidity, wind speed and rainfall. This is problematic in low-cost air temperature sensors, which lack a radiation shield or a forced aspiration system, exposing them to direct sunlight and co...

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Detalles Bibliográficos
Autores principales:	Yamamoto, Kyosuke, Togami, Takashi, Yamaguchi, Norio, Ninomiya, Seishi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492151/ https://www.ncbi.nlm.nih.gov/pubmed/28587238 http://dx.doi.org/10.3390/s17061290

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