A novel method for correcting dew point protection data of heavy-duty diesel vehicles based on random forest-Reference-Cited by-同舟云学术

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A novel method for correcting dew point protection data of heavy-duty diesel vehicles based on random forest

Published:2024-10 Issue: Volume:136 Page:109026
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Liu Chuntao,Pei Yiqiang^ORCID

Publisher

Elsevier BV

Reference50 articles.

1. Impacts and mitigation of excess diesel-related NOx emissions in 11 major vehicle markets;Anenberg;Nature,2017

2. Neural network models for virtual sensing of NOx emissions in automotive diesel engines with least square-based adaptation;Arsie;Control Eng. Pract.,2017

3. Comparison of CNN and LSTM for modelling virtual sensors in an engine;Bellone;SAE Int. J. Adv. & Curr. Prac. in Mobility,2020

4. 1D simulation of a turbocharged diesel engine with a comparison of short and long EGR route solutions;Cornolti;Appl. Energy,2013

5. Forecasting global climate drivers using Gaussian processes and convolutional autoencoders;Donnelly;Eng. Appl. Artif. Intell.,2024

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