Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide (NO (x) ) Emissions Using Deep Learning.
- DOI
- 10.3389/fmech.2022.840310
- Published
- 2022
- Container
- Frontiers in Mechanical Engineering
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/fmech.2022.840310,
title = {Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide (NO (x) ) Emissions Using Deep Learning.},
author = {Pillai R and Triantopoulos V and Berahas AS and Brusstar M and Sun R and Nevius T and Boehman AL},
year = {2022},
journal = {Frontiers in Mechanical Engineering},
doi = {10.3389/fmech.2022.840310},
url = {https://doi.org/10.3389/fmech.2022.840310}
}RIS
TY - JOUR TI - Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide (NO (x) ) Emissions Using Deep Learning. AU - Pillai R AU - Triantopoulos V AU - Berahas AS AU - Brusstar M AU - Sun R AU - Nevius T AU - Boehman AL PY - 2022 JO - Frontiers in Mechanical Engineering DO - 10.3389/fmech.2022.840310 UR - https://doi.org/10.3389/fmech.2022.840310 ER -
APA
R, P., V, T., AS, B., M, B., R, S., T, N., & AL, B. (2022). Modeling and Predicting Heavy-Duty Vehicle Engine-Out and Tailpipe Nitrogen Oxide (NO (x) ) Emissions Using Deep Learning.. Frontiers in Mechanical Engineering. https://doi.org/10.3389/fmech.2022.840310
Source records
- pubmed · retrieved 2026-09-25T04:58:43.768Z