CNN-CBAM prediction model for moisture content determination of raw materials for wood-based panels based on near-infrared spectroscopy

Zijian Qin, Lu Xu, Chengwu Chen, Yuanda Qi, Yiwei Li, Yaoxiang Li

Open source

DOI
10.1039/d5ay01609f
Published
2026
Container
Analytical Methods
Publisher
Royal Society of Chemistry (RSC)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1039/d5ay01609f,
  title = {CNN-CBAM prediction model for moisture content determination of raw materials for wood-based panels based on near-infrared spectroscopy},
  author = {Zijian Qin and Lu Xu and Chengwu Chen and Yuanda Qi and Yiwei Li and Yaoxiang Li},
  year = {2026},
  journal = {Analytical Methods},
  doi = {10.1039/d5ay01609f},
  url = {https://doi.org/10.1039/d5ay01609f}
}

RIS

TY  - JOUR
TI  - CNN-CBAM prediction model for moisture content determination of raw materials for wood-based panels based on near-infrared spectroscopy
AU  - Zijian Qin
AU  - Lu Xu
AU  - Chengwu Chen
AU  - Yuanda Qi
AU  - Yiwei Li
AU  - Yaoxiang Li
PY  - 2026
JO  - Analytical Methods
DO  - 10.1039/d5ay01609f
UR  - https://doi.org/10.1039/d5ay01609f
ER  - 

APA

Qin, Z., Xu, L., Chen, C., Qi, Y., Li, Y., & Li, Y. (2026). CNN-CBAM prediction model for moisture content determination of raw materials for wood-based panels based on near-infrared spectroscopy. Analytical Methods. https://doi.org/10.1039/d5ay01609f

Source records