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Input-Adaptive Proxy for Black Carbon as a Virtual Sensor.
Fung, Pak Lun; Zaidan, Martha A; Sillanpää, Salla; Kousa, Anu; Niemi, Jarkko V; Timonen, Hilkka; Kuula, Joel; Saukko, Erkka; Luoma, Krista; Petäjä, Tuukka; Tarkoma, Sasu; Kulmala, Markku; Hussein, Tareq.
Afiliación
  • Fung PL; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Zaidan MA; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Sillanpää S; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Kousa A; Helsinki Region Environmental Services Authority (HSY), P.O. Box 100, FI-00066 Helsinki, Finland.
  • Niemi JV; Helsinki Region Environmental Services Authority (HSY), P.O. Box 100, FI-00066 Helsinki, Finland.
  • Timonen H; Atmospheric Composition Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland.
  • Kuula J; Atmospheric Composition Research, Finnish Meteorological Institute, FI-00560 Helsinki, Finland.
  • Saukko E; Pegasor Oy, FI-33100 Tampere, Finland.
  • Luoma K; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Petäjä T; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Tarkoma S; Department of Computer Science, University of Helsinki, FI-00560 Helsinki, Finland.
  • Kulmala M; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
  • Hussein T; Institute for Atmospheric and Earth System Research (INAR)/Physics, University of Helsinki, FI-00560 Helsinki, Finland.
Sensors (Basel) ; 20(1)2019 Dec 28.
Article en En | MEDLINE | ID: mdl-31905686

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Finlandia

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sensors (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Finlandia