Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering-Reference-Cited by-同舟云学术

Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering

Published:2023-10 Issue: Volume:280 Page:128066
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Cesar de Lima Nogueira Silvio^ORCID,Och Stephan Hennings,Moura Luis Mauro^ORCID,Domingues Eric,Coelho Leandro dos Santos,Mariani Viviana Cocco^ORCID

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference76 articles.

1. Brazilian Institute of Geography and statistics,2022

2. National association of automotive vehicle Manufacturers,2022

3. Internal combustion engineering science and technology;Weaving,1990

4. Internal combustion engines fundamentals;Heywood,1988

5. Mixture formation in internal combustion engines;Baumgarten,2006

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