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2. Establishment the equivalent model and parameter calculation of a new concept of high-speed permanent magnet synchronous machine with hybrid excitation on the stator

3. Comparative study on torque characteristics of permanent magnet synchronous reluctance motors with different axial hybrid rotors

4. Real-Time Forecasting of Subsurface Inclusion Defects for Continuous Casting Slabs: A Data-Driven Comparative Study

5. Multi-scale Fusion of Stretched Infrared and Visible Images

6. Primary-Auxiliary Statistical Local Kernel Principal Component Analysis and Its Application to Incipient Fault Detection of Nonlinear Industrial Processes

7. Robust Supervised Probabilistic Factor Analysis and Its Application to Industrial Soft Sensor Modeling

8. Systematic Development of a New Variational Autoencoder Model Based on Uncertain Data for Monitoring Nonlinear Processes

11. Data Mining and Analytics in the Process Industry: The Role of Machine Learning

12. Student’s-t Mixture Regression-Based Robust Soft Sensor Development for Multimode Industrial Processes

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