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Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment., , , и . IEEE Trans. Ind. Informatics, 17 (1): 569-577 (2021)A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants., , , , и . IEEE Trans. Ind. Informatics, 14 (12): 5278-5288 (2018)LTGH: A Dynamic Texture Feature for Working Condition Recognition in the Froth Flotation., , , , и . IEEE Trans. Instrum. Meas., (2021)Temperature Measurement and Compensation Method of Blast Furnace Molten Iron Based on Infrared Computer Vision., , , , , и . IEEE Trans. Instrum. Meas., 68 (10): 3576-3588 (2019)A Binocular Camera Calibration Method in Froth Flotation Based on Key Frame Sequences and Weighted Normalized Tilt Difference., , , , , и . IEEE Trans. Circuits Syst. Video Technol., 33 (10): 5576-5586 (октября 2023)Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial., , , , и . ICONIP (7), том 1961 из Communications in Computer and Information Science, стр. 396-406. Springer, (2023)Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process., , , и . IEEE Trans. Instrum. Meas., (2024)Multi-generator adversarial dynamic spatial-temporal shapelet network for anode effect prediction in aluminum electrolysis process., , , и . Adv. Eng. Informatics, (2024)Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant., , , , и . J. Frankl. Inst., 356 (12): 5944-5960 (2019)Surface Defect Detection Algorithm Based on Feature-Enhanced YOLO., , , и . Cogn. Comput., 15 (2): 565-579 (марта 2023)