APA (7th ed.) Citation

Ling, G., Wang, Z., Wang, J., Shi, Y., Li, L., & Zeng, J. (2026). An industrial process monitoring method based on fusion of multi-scale sparse autoencoder and dual-branch slow feature architecture. Chemical engineering science, 321, 122924. https://doi.org/10.1016/j.ces.2025.122924

Chicago Style (17th ed.) Citation

Ling, Guobi, Zhiwen Wang, Jieying Wang, Yaoke Shi, Long Li, and Jingxiao Zeng. "An Industrial Process Monitoring Method Based on Fusion of Multi-scale Sparse Autoencoder and Dual-branch Slow Feature Architecture." Chemical Engineering Science 321 (2026): 122924. https://doi.org/10.1016/j.ces.2025.122924.

MLA (9th ed.) Citation

Ling, Guobi, et al. "An Industrial Process Monitoring Method Based on Fusion of Multi-scale Sparse Autoencoder and Dual-branch Slow Feature Architecture." Chemical Engineering Science, vol. 321, 2026, p. 122924, https://doi.org/10.1016/j.ces.2025.122924.