Data-driven discovery of tobacco leaf blending rules for new replacement through integration of thermogravimetric, near-infrared, and attribute-encoded fingerprinting data
Fields of Study & Subjects
Spectroscopy and Chemometric Analyses
Data Mining and Machine Learning Applications
Machine Learning in Materials Science
Publication details
- Journal / source
- Journal of Analytical and Applied Pyrolysis
- Volume
- 195
- Pages
- 107611–107611
- Publication date
- 12 January 2026
- Language
- EN