Hybrid regression–classification framework with probability-guided decision refinement for green tea quality assessment using electronic nose
Accurate prediction in tea quality assessment is essential for ensuring consistency between production standards and market expectations. However, conventional classification models often struggle to distinguish subtle aroma differences captured by electronic nose (e-nose) sensors, particularly in b...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
PeerJ Inc.
2026-05-01
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| Series: | PeerJ Computer Science |
| Assuntos: | |
| Acceso en liña: | https://peerj.com/articles/cs-3890.pdf |
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