A synergistic deep learning framework integrating GWO-VMD and dual-channel TCN-GRU for cobalt ion concentration prediction in zinc hydrometallurgical purification
- DOI
- 10.1038/s41598-026-63816-1
- Published
- 2026-08-13
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-63816-1,
title = {A synergistic deep learning framework integrating GWO-VMD and dual-channel TCN-GRU for cobalt ion concentration prediction in zinc hydrometallurgical purification},
author = {Xidi Shang and Wuliang Yin and Jianxin Pan and Min Wang and Hua Wang and Kai Yang and Qingtai Xiao},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-63816-1},
url = {https://doi.org/10.1038/s41598-026-63816-1}
}RIS
TY - JOUR TI - A synergistic deep learning framework integrating GWO-VMD and dual-channel TCN-GRU for cobalt ion concentration prediction in zinc hydrometallurgical purification AU - Xidi Shang AU - Wuliang Yin AU - Jianxin Pan AU - Min Wang AU - Hua Wang AU - Kai Yang AU - Qingtai Xiao PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-63816-1 UR - https://doi.org/10.1038/s41598-026-63816-1 ER -
APA
Shang, X., Yin, W., Pan, J., Wang, M., Wang, H., Yang, K., & Xiao, Q. (2026). A synergistic deep learning framework integrating GWO-VMD and dual-channel TCN-GRU for cobalt ion concentration prediction in zinc hydrometallurgical purification. Scientific Reports. https://doi.org/10.1038/s41598-026-63816-1
Source records
- crossref · retrieved 2026-09-26T07:57:33.009Z