Comparative Evaluation of Machine Learning and Hyperparameter Optimization Methods for Low-Cost CO(2) Sensor Calibration in Terms of Performance and Computational Cost.
- DOI
- 10.3390/s26123671
- Published
- 2026 Jun 9
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- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/s26123671,
title = {Comparative Evaluation of Machine Learning and Hyperparameter Optimization Methods for Low-Cost CO(2) Sensor Calibration in Terms of Performance and Computational Cost.},
author = {Karsu Asal EC and Taştan M and Gökozan H and Erel-Özçevik M and Özçevik Y},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26123671},
url = {https://doi.org/10.3390/s26123671}
}RIS
TY - JOUR TI - Comparative Evaluation of Machine Learning and Hyperparameter Optimization Methods for Low-Cost CO(2) Sensor Calibration in Terms of Performance and Computational Cost. AU - Karsu Asal EC AU - Taştan M AU - Gökozan H AU - Erel-Özçevik M AU - Özçevik Y PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26123671 UR - https://doi.org/10.3390/s26123671 ER -
APA
EC, K. A., M, T., H, G., M, E., & Y, Ö. (2026). Comparative Evaluation of Machine Learning and Hyperparameter Optimization Methods for Low-Cost CO(2) Sensor Calibration in Terms of Performance and Computational Cost.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123671
Source records
- pubmed · retrieved 2026-09-25T20:36:16.948Z