Machine Learning-Enhanced High-Temperature CO2 Sensor for In Situ Exhaust Monitoring: Robust Compensation via Real-Time Vehicle Operating Parameters
- DOI
- 10.1021/acssensors.6c01547
- Published
- 2026-07-23
- Container
- ACS Sensors
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acssensors.6c01547,
title = {Machine Learning-Enhanced High-Temperature CO2 Sensor for In Situ Exhaust Monitoring: Robust Compensation via Real-Time Vehicle Operating Parameters},
author = {Quanquan Tang and Zuorong Huang and Bin Wu and Xishuang Liang and Mingliang Fu and Geyu Lu},
year = {2026},
journal = {ACS Sensors},
doi = {10.1021/acssensors.6c01547},
url = {https://doi.org/10.1021/acssensors.6c01547}
}RIS
TY - JOUR TI - Machine Learning-Enhanced High-Temperature CO2 Sensor for In Situ Exhaust Monitoring: Robust Compensation via Real-Time Vehicle Operating Parameters AU - Quanquan Tang AU - Zuorong Huang AU - Bin Wu AU - Xishuang Liang AU - Mingliang Fu AU - Geyu Lu PY - 2026 JO - ACS Sensors DO - 10.1021/acssensors.6c01547 UR - https://doi.org/10.1021/acssensors.6c01547 ER -
APA
Tang, Q., Huang, Z., Wu, B., Liang, X., Fu, M., & Lu, G. (2026). Machine Learning-Enhanced High-Temperature CO2 Sensor for In Situ Exhaust Monitoring: Robust Compensation via Real-Time Vehicle Operating Parameters. ACS Sensors. https://doi.org/10.1021/acssensors.6c01547
Source records
- crossref · retrieved 2026-09-25T18:55:45.677Z