PCSC-net: a channel × frequency representation learning framework tailored to electrical impedance spectroscopy for robust food quality assessment
- DOI
- 10.1016/j.foodres.2026.120900
- Published
- 2026-12
- Container
- Food Research International
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foodres.2026.120900,
title = {PCSC-net: a channel × frequency representation learning framework tailored to electrical impedance spectroscopy for robust food quality assessment},
author = {Yalu Cai and Yuxuan Jiang and Mingwei Zeng and Jiaze Lin and Runze Wang and Yuduan Lin and Honghao Cai},
year = {2026},
journal = {Food Research International},
doi = {10.1016/j.foodres.2026.120900},
url = {https://doi.org/10.1016/j.foodres.2026.120900}
}RIS
TY - JOUR TI - PCSC-net: a channel × frequency representation learning framework tailored to electrical impedance spectroscopy for robust food quality assessment AU - Yalu Cai AU - Yuxuan Jiang AU - Mingwei Zeng AU - Jiaze Lin AU - Runze Wang AU - Yuduan Lin AU - Honghao Cai PY - 2026 JO - Food Research International DO - 10.1016/j.foodres.2026.120900 UR - https://doi.org/10.1016/j.foodres.2026.120900 ER -
APA
Cai, Y., Jiang, Y., Zeng, M., Lin, J., Wang, R., Lin, Y., & Cai, H. (2026). PCSC-net: a channel × frequency representation learning framework tailored to electrical impedance spectroscopy for robust food quality assessment. Food Research International. https://doi.org/10.1016/j.foodres.2026.120900
Source records
- crossref · retrieved 2026-11-08T12:27:31.797Z