Mingxi Ai
Orcid: 0000-0002-0284-2995
According to our database1,
Mingxi Ai
authored at least 10 papers
between 2018 and 2023.
Collaborative distances:
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Bibliography
2023
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring.
IEEE Trans. Ind. Electron., September, 2023
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring.
IEEE Trans. Instrum. Meas., 2023
2022
Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control.
Expert Syst. Appl., 2022
2021
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues.
IEEE Trans. Instrum. Meas., 2021
Deep learning feature-based setpoint generation and optimal control for flotation processes.
Inf. Sci., 2021
2020
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process.
Neural Comput. Appl., 2020
2019
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant.
J. Frankl. Inst., 2019
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019
2018
Symmetry, 2018