Mingxi Ai

Orcid: 0000-0002-0284-2995

According to our database1, Mingxi Ai authored at least 11 papers between 2018 and 2025.

Collaborative distances:

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Links

On csauthors.net:

Bibliography

2025
Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization.
Eng. Appl. Artif. Intell., 2025

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

Flotation Fault Diagnosis Method Using Statistical Approaches.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018
Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation.
Symmetry, 2018


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