Work

State estimation model for NOx storage-reduction catalyst using modeling method based on machine learning

Year: 2025

Type: article

Source: International Journal of Engine Research

DOI: 10.1177/14680874251382294

Authors: Takato Ikedo, Matsuei Ueda, Hideto Inagaki, Sayaka Nojiri

Institution: Toyota Central Research and Development Laboratories (Japan)

Language: English

Topic: Engine and Fuel Emissions

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4416108800

FWCI: 0.507

Cites: 44

Cited by: 2

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