Rapid identification method for on-road high-emission vehicle based on deep semi-supervised anomaly detection-Reference-Cited by-同舟云学术

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Rapid identification method for on-road high-emission vehicle based on deep semi-supervised anomaly detection

Published:2025-01 Issue: Volume:239 Page:115430
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Han Lingran,Zhang Yujun,He Ying,You Kun,Liu Wenqing,Xie Hao

Funder

Chinese Academy of Sciences Hefei Institutes of Physical Science

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference34 articles.

1. A big data approach to improving the vehicle emission inventory in China;Deng;Nat. Commun.,2020

2. A global snapshot of the air pollution-related health impacts of transportation sector emissions in 2010 and 2015, International Council on Clean Transportation: Washington;Anenberg,2019

3. Analysis of the repeatability of the exhaust pollutants emission research results for cold and hot starts under controlled driving cycle conditions;Jaworski;Environ. Sci. Pollut. Res.,2018

4. Measurements of particle number and mass concentrations and size distributions in a tunnel environment;Geller;Environ Sci Technol,2005

5. On-Road Emission Measurements of Reactive Nitrogen Compounds from Three California Cities;Bishop;Environ. Sci. Technol.,2010

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