147 results on '"Chiang, Leo H."'
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2. A functional data-driven approach to monitor and analyze equipment degradation in multiproduct batch processes
3. Integration of process knowledge and statistical learning for the Dow data challenge problem
4. Recent trends on hybrid modeling for Industry 4.0
5. Investigation of transfer learning for image classification and impact on training sample size
6. Control of A Polyol Process Using Reinforcement Learning
7. Multirate fusion of data sources with different quality
8. Dimensionality reduction for visualizing industrial chemical process data
9. Advances and opportunities in machine learning for process data analytics
10. Data-driven methods for batch data analysis – A critical overview and mapping on the complexity scale
11. Wide spectrum feature selection (WiSe) for regression model building
12. Image-based manufacturing analytics: Improving the accuracy of an industrial pellet classification system using deep neural networks
13. Autocovariance-based MPC model mismatch estimation for systems with measurable disturbances
14. Autocovariance-based plant-model mismatch estimation for linear model predictive control
15. Data-Driven Plant-Model Mismatch Quantification in Input-Constrained Linear MPC
16. Diagnosis of multiple and unknown faults using the causal map and multivariate statistics
17. Knowledge-based Methods
18. Application Description
19. Analytical Methods
20. Tennessee Eastman Process
21. Canonical Variate Analysis
22. Fisher Discriminant Analysis
23. Results and Discussion
24. Partial Least Squares
25. Pattern Classification
26. Multivariate Statistics
27. Principal Component Analysis
28. Introduction
29. Canonical Variate Analysis
30. Fisher Discriminant Analysis
31. Overview of Analytical and Knowledge-Based Approaches
32. Tennessee Eastman Process
33. Application Description
34. Results and Discussion
35. Pattern Classification
36. Partial Least Squares
37. Principal Component Analysis
38. Multivariate Statistics
39. Introduction
40. Profile-driven Features for Offline Quality Prediction in Batch Processes
41. C-HACK: A DATA SCIENCE TUTORIAL AND HACKATHON FOR UNDERGRADUATE STUDENTS IN CHEMICAL ENGINEERING.
42. Benchmark study of reinforcement learning in controlling and optimizing batch processes
43. Towards artificial intelligence at scale in the chemical industry
44. Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model
45. Industrial implementation of on-line multivariate quality control
46. Data‐driven plant‐model mismatch estimation for dynamic matrix control systems
47. Industrial experiences with multivariate statistical analysis of batch process data
48. Data-driven plant-model mismatch quantification for MIMO MPC systems with feedforward control path
49. Sensor Fusion with Irregular Sampling and Varying Measurement Delays
50. Pattern Classification
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