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Prediction of instantaneous particle number for light-duty gasoline vehicles under real driving conditions based on ensemble learning

Pengli Qiao, Jimin Ni, Rong Fung Huang, Zhenxu Cheng

2023Journal of Cleaner Production11 citationsDOI

Topics & Concepts

GasolineSampling (signal processing)Fuel efficiencyComputer scienceMachine learningAutomotive engineeringEngineeringWaste managementFilter (signal processing)Computer visionVehicle emissions and performanceAir Quality and Health ImpactsAir Quality Monitoring and Forecasting
Prediction of instantaneous particle number for light-duty gasoline vehicles under real driving conditions based on ensemble learning | Litcius