Application of a semi-supervised learning framework combining principal component constraint enhancement in near-infrared spectroscopy of Rhizome Coptidis
- DOI
- 10.1016/j.saa.2026.128843
- Published
- 2027-02
- Container
- Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.saa.2026.128843,
title = {Application of a semi-supervised learning framework combining principal component constraint enhancement in near-infrared spectroscopy of Rhizome Coptidis},
author = {Nan An and Jingyu Zhang and Huazhou Chen},
year = {2027},
journal = {Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy},
doi = {10.1016/j.saa.2026.128843},
url = {https://doi.org/10.1016/j.saa.2026.128843}
}RIS
TY - JOUR TI - Application of a semi-supervised learning framework combining principal component constraint enhancement in near-infrared spectroscopy of Rhizome Coptidis AU - Nan An AU - Jingyu Zhang AU - Huazhou Chen PY - 2027 JO - Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy DO - 10.1016/j.saa.2026.128843 UR - https://doi.org/10.1016/j.saa.2026.128843 ER -
APA
An, N., Zhang, J., & Chen, H. (2027). Application of a semi-supervised learning framework combining principal component constraint enhancement in near-infrared spectroscopy of Rhizome Coptidis. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. https://doi.org/10.1016/j.saa.2026.128843
Source records
- crossref · retrieved 2026-09-27T11:59:21.285Z