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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.5
- 수록면
- 101 - 101 (1page)
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Diesel Particulate Matter (DPM) refers to all particulates except exhaust gas among by-products generated during the combustion process of fuel in a diesel type internal combustion engine. According to research, DPM cause human respiratory health effects, neuroinflammation and impaired the reproductive functions. The characteristic of DPM is that the composition of DPM changes according to the process of generation, temperature, and composition ratio of fuel, and for this reason, toxicity evaluation for regulation is not smooth. In this study, to support evaluation and regulation of DPM, toxicity prediction machine learning model was trained by using ToxCast data. The data was curated and prepared in several steps for greater model performance. Six algorithms (Gradient Boosting Tree, Random Forest, Multi-layered Perceptron Network, k-Nearest Neighborhood, Logistic Regression, Naive B ... 전체 초록 보기
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