Yoonjung Lee, Jayoung Park, Woong-Han Kim, Jwa-Seop Shin, Hyun Bae Yoon
Beyond the surface: unraveling global health curriculum insights through interviews of learners and educators using the CIPP model
Korean journal of medical education
advances vehicle emission control technology updating source profiles meet current requirements source apportionment become increasingly crucial study onroad nonroad vehicle particles collected chemical compositions individual particles analyzed using single particle aerosol mass spectrometry data grouped using adaptive resonance theory neural network identify signatures establish mass spectral database mobile sources addition deep learningbased model deepaerosolclassifier classifying aerosol particles established objective model accomplish source apportionment training process model achieved accuracy 9849 validation set accuracy 9336 testing set regarding model interpretation ideal spectra generated using model verifying accurate recognition characteristic patterns mass spectra practical application model performed hourly source apportionment three specific field monitoring sites effectiveness model field measurement validated combining traffic flow spatial information model results compared machine learning methods model achieved highly automated source apportionment eliminating need feature selection enables endtoend operation thus future applied refined online source apportionment particulate matter