A Comparative Study for CO and NOx Emission Forecasting Using Random Forest and Decision Tree Methods

Ozum Callı

doi:10.2139/ssrn.4666134

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JOURNAL ARTICLE

A Comparative Study for CO and NOx Emission Forecasting Using Random Forest and Decision Tree Methods

Ozum Callı

Year: 2023 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4666134

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Keywords:

Random forest NOx Decision tree Environmental science Econometrics Forestry Statistics Mathematics Geography Computer science Artificial intelligence Chemistry

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Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

A Comparative Study for CO and NOx Emission Forecasting Using Random Forest and Decision Tree Methods

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