Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles
Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
The current understanding of CO2 emission concentrations in hybrid vehicles (HVs) is limited, due to the complexity of the constant changes in their power-train sources. This study aims to address this problem by examining the accuracy, speed and size of traditional and advanced machine learning (ML) models for predicting CO2 emissions in HVs. A ne...
Alternative Titles
Full title
Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e53111a789164ec99bc5a274f2a57cd5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e53111a789164ec99bc5a274f2a57cd5
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23031350