Field calibration of a cluster of low-cost available sensors for air quality monitoring. Part A: Ozone and nitrogen dioxide

Sensors and Actuators, B: Chemical

Volumn 215, Issue , 2015, Pages 249-257

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

^a JOINT RESEARCH CENTRE   (Italy)

^b ENEA   (Italy)

^c Consejo Superior de Investigaciones Científicas   (Spain)

^d Phoenix Sistemi and Automazione sagl   (Switzerland)

Author keywords

Air Quality Directive; Gas sensors; Measurement uncertainty; Multivariate linear regression; Neural network; Validation

Indexed keywords

AIR QUALITY; AIR QUALITY STANDARDS; CALIBRATION; CARBON DIOXIDE; CARBON MONOXIDE; CHEMICAL SENSORS; COSTS; LEARNING SYSTEMS; METALS; NEURAL NETWORKS; NITROGEN OXIDES; OZONE; SUPERVISED LEARNING;

AIR QUALITY DIRECTIVES; AIR QUALITY MONITORING; CARBON DIOXIDE SENSORS; DATA QUALITY OBJECTIVES; MEASUREMENT UNCERTAINTY; MULTIVARIATE LINEAR REGRESSIONS; REFERENCE MEASUREMENTS; VALIDATION;

UNCERTAINTY ANALYSIS;

EID: 84927759015     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2015.03.031     Document Type: Conference Paper

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