Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning.
- DOI
- 10.3390/s26123877
- Published
- 2026 Jun 18
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26123877,
title = {Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning.},
author = {Tasdemir AT and Ozkat EC and Ozkat GY and Gul F},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26123877},
url = {https://doi.org/10.3390/s26123877}
}RIS
TY - JOUR TI - Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning. AU - Tasdemir AT AU - Ozkat EC AU - Ozkat GY AU - Gul F PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26123877 UR - https://doi.org/10.3390/s26123877 ER -
APA
AT, T., EC, O., GY, O., & F, G. (2026). Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26123877
Source records
- pubmed · retrieved 2026-09-26T20:19:37.716Z