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- W4386085890 abstract "Greenhouse effects caused by insulating gases with high global warming potential (GWP) pose a severe threat to the environment therefore searching for their alternatives is imperative. In this study, random forest classifiers were utilized to build a classification model for prediction of global warming potential of insulating gases using random forest classifiers. The accuracy and the predictive power of the model were thoroughly evaluated." @default.
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- W4386085890 date "2023-01-01" @default.
- W4386085890 modified "2023-09-27" @default.
- W4386085890 title "Prediction of Global Warming Potential of Insulating Gases Using Random Forest Classifiers" @default.
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- W4386085890 doi "https://doi.org/10.1007/978-981-99-3408-9_65" @default.
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