A tinyml soft-sensor approach for low-cost detection and monitoring of vehicular emissions

HIGHLIGHTS

• who: Pedro Andrade et al. from the Postgraduate Program in Electrical and Computer Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil have published the paper: A TinyML Soft-Sensor Approach for Low-Cost Detection and Monitoring of Vehicular Emissions, in the Journal: Sensors 2022, 22, 3838. of /2022/
• what: Considering the emergency produced by ongoing climate change, this article is focused on the detection and monitoring of CO2 emitted by vehicles, potentially providing an important contribution when facing this stringent global challenge. The authors propose a Typicality and Eccentricity . . .
  

   

  

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