Real-time pm2.5 monitoring in a diesel generator workshop using low-cost sensors

HIGHLIGHTS

• who: Zikang Feng et al. from the School of Safety Engineering, China University of Mining and Technology, Xuzhou, China have published the paper: Real-Time PM2.5 Monitoring in a Diesel Generator Workshop Using Low-Cost Sensors, in the Journal: Atmosphere 2022, 13, x FOR PEER REVIEW of 29/09/2022
• what: The authors proposed a data calibration algorithm to improve the performance of low-cost sensors by using a nonlinear support vector machines (SVM) algorithm to calibrate low-cost sensors. Some effects of three calibration factors, including humidity, temperature, and TVOC on the model . . .
  

   

  

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