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Year | Number of Results |
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Page 1
Development of vehicle emission rates based on vehicle-specific power and velocity.
Sci Total Environ. 2023 Jan 20;857(Pt 3):159622. doi: 10.1016/j.scitotenv.2022.159622. Epub 2022 Oct 21.
Sci Total Environ. 2023.
PMID: 36280062
Development of a cold-start emission model for diesel vehicles using an artificial neural network trained with real-world driving data.
Seo J, Yun B, Kim J, Shin M, Park S.
Seo J, et al.
Sci Total Environ. 2022 Feb 1;806(Pt 3):151347. doi: 10.1016/j.scitotenv.2021.151347. Epub 2021 Oct 30.
Sci Total Environ. 2022.
PMID: 34728203
Free article.
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Emission factor development for light-duty vehicles based on real-world emissions using emission map-based simulation.
Seo J, Park J, Park J, Park S.
Seo J, et al.
Environ Pollut. 2021 Feb 1;270:116081. doi: 10.1016/j.envpol.2020.116081. Epub 2020 Nov 17.
Environ Pollut. 2021.
PMID: 33261968
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Prediction of instantaneous real-world emissions from diesel light-duty vehicles based on an integrated artificial neural network and vehicle dynamics model.
Seo J, Yun B, Park J, Park J, Shin M, Park S.
Seo J, et al.
Sci Total Environ. 2021 Sep 10;786:147359. doi: 10.1016/j.scitotenv.2021.147359. Epub 2021 Apr 27.
Sci Total Environ. 2021.
PMID: 33964768
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Estimation of CO2 emissions from heavy-duty vehicles in Korea and potential for reduction based on scenario analysis.
Seo J, Kim H, Park S.
Seo J, et al.
Sci Total Environ. 2018 Sep 15;636:1192-1201. doi: 10.1016/j.scitotenv.2018.04.269. Epub 2018 May 9.
Sci Total Environ. 2018.
PMID: 29913581
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Estimation of CO2 reduction by parallel hard-type power hybridization for gasoline and diesel vehicles.
Oh Y, Park J, Lee JT, Seo J, Park S.
Oh Y, et al. Among authors: seo j.
Sci Total Environ. 2017 Oct 1;595:2-12. doi: 10.1016/j.scitotenv.2017.03.171. Epub 2017 Mar 31.
Sci Total Environ. 2017.
PMID: 28365459
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