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Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles

Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e53111a789164ec99bc5a274f2a57cd5

Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles

About this item

Full title

Machine-Learning-Based Carbon Dioxide Concentration Prediction for Hybrid Vehicles

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-01, Vol.23 (3), p.1350

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

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

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

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