Data-driven discovery of tobacco leaf blending rules for new replacement through integration of thermogravimetric, near-infrared, and attribute-encoded fingerprinting data

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Authors: Ji Yang, Qian Gao, Qianxu Yang, Hui Jiang, Wei Zhang, Shiyun Tang, Ze Liu, Aiming Chen, Zhongda Zeng
Cited by: 0
References: 23

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