Mingxing Jia
Orcid: 0000-0002-3876-1804
According to our database1,
Mingxing Jia
authored at least 18 papers
between 2010 and 2024.
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Bibliography
2024
A real-valued label noise cleaning method based on ensemble iterative filtering with noise score.
Int. J. Mach. Learn. Cybern., September, 2024
Operation Condition Assessment for Elevators Based on Deep Siamese Network and T-S Semi-Supervision Model.
IEEE Trans. Instrum. Meas., 2024
Time-slice dynamic prediction and multiway serial PCA for batch industrial process monitoring.
Comput. Chem. Eng., 2024
2023
Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis.
Entropy, December, 2023
Multi-well dynamic liquid-level prediction method of pumping well based on dynamic and static information feature fusion neural network.
Trans. Inst. Meas. Control, April, 2023
2020
Optimization Design of Industrial Water Supply Pump Station Considering the Influence of Atmospheric Temperature on Operation Cost.
IEEE Access, 2020
2019
Adaptive Fuzzy Control for Nonlinear State Constrained Systems With Input Delay and Unknown Control Coefficients.
IEEE Access, 2019
2018
Trans. Inst. Meas. Control, 2018
2014
Recursive parameter identification of Hammerstein-Wiener systems with measurement noise.
Signal Process., 2014
Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge.
Neural Comput. Appl., 2014
Deformable Part Model based Multiple Pedestrian Detection for Video Surveillance in Crowded Scenes.
Proceedings of the VISAPP 2014, 2014
Proceedings of the VISAPP 2014, 2014
Proceedings of the Biometric Recognition - 9th Chinese Conference, 2014
2013
Corrigendum to "Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace" [Knowl.-Based Syst. 36 (2012) 280-287].
Knowl. Based Syst., 2013
2012
Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace.
Knowl. Based Syst., 2012
The optimization of the kind and parameters of kernel function in KPCA for process monitoring.
Comput. Chem. Eng., 2012
2010
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010