Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2

Sensors and Actuators, B: Chemical

Volumn 238, Issue , 2017, Pages 706-715

  Spinelle, Laurent ^a   Gerboles, Michel ^a   Villani, Maria Gabriella ^b   Aleixandre, Manuel ^c   Bonavitacola, Fausto ^d  

^a EUROPEAN COMMISSION   (Belgium)

^b ENEA   (Italy)

^c CSIC   (Spain)

^d Phoenix Sistemi Automazione sagl   (Switzerland)

Author keywords

Air Quality Directive; Artificial neural network; Low cost gas sensors; Measurement uncertainty; Multivariate linear regression; Validation

Indexed keywords

AIR QUALITY; CALIBRATION; CARBON DIOXIDE; CARBON MONOXIDE; COSTS; LEARNING ALGORITHMS; LEARNING SYSTEMS; METALS; NEURAL NETWORKS; NITROGEN OXIDES; OZONE; REGRESSION ANALYSIS; SUPERVISED LEARNING; UNCERTAINTY ANALYSIS;

AIR QUALITY DIRECTIVES; LOW COSTS; MEASUREMENT UNCERTAINTY; MULTIVARIATE LINEAR REGRESSIONS; VALIDATION;

ELECTROCHEMICAL SENSORS;

EID: 84979600361     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2016.07.036     Document Type: Article

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