CMAFNet: A cross-modal adaptive fusion network for operating condition identification in zinc oxide rotary kilns.
- DOI
- 10.1016/j.neunet.2026.109552
- Published
- 2026 Aug 26
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109552,
title = {CMAFNet: A cross-modal adaptive fusion network for operating condition identification in zinc oxide rotary kilns.},
author = {Liu Y and Zhang C and Lin Z and Ning C and Liang X and Gui W},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109552},
url = {https://doi.org/10.1016/j.neunet.2026.109552}
}RIS
TY - JOUR TI - CMAFNet: A cross-modal adaptive fusion network for operating condition identification in zinc oxide rotary kilns. AU - Liu Y AU - Zhang C AU - Lin Z AU - Ning C AU - Liang X AU - Gui W PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109552 UR - https://doi.org/10.1016/j.neunet.2026.109552 ER -
APA
Y, L., C, Z., Z, L., C, N., X, L., & W, G. (2026). CMAFNet: A cross-modal adaptive fusion network for operating condition identification in zinc oxide rotary kilns.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109552
Source records
- pubmed · retrieved 2026-09-25T20:29:59.723Z