94 results on '"Jiang, Qingchao"'
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2. Distributed temporal–spatial neighbourhood enhanced variational autoencoder for multiunit industrial plant‐wide process monitoring
3. Artificial intelligence-aided detection for prostate cancer with multi-modal routine health check-up data: an Asian multi-center study
4. Review for "A review of just‐in‐time learning‐based soft sensor in industrial process"
5. Defect Detection for Steel Strip Surface Based on SG-YOLOv5
6. Multiple feature fusion transformer for modeling penicillin fermentation process with unequal sampling intervals
7. Neural networks-based hybrid beneficial variable selection and modeling for soft sensing
8. A Zoning Search-Based Multimodal Multi-Objective Brain Storm Optimization Algorithm for Multimodal Multi-Objective Optimization
9. Optimized Gaussian-Process-Based Probabilistic Latent Variable Modeling Framework for Distributed Nonlinear Process Monitoring
10. Hierarchical Fault Root Cause Identification in Plant-Wide Processes Using Distributed Direct Causality Analysis
11. Artificial Intelligence-Aided Detection for Prostate Cancer with Multi-Modal Routine Health Check-Up Data: An Asian Multi-Center Study
12. Owfd-Up: An Open-World Fault Diagnosis Scheme Based on Uncertainty and Prototypes
13. Utilizing Correlations in Singular Vector Space for Nonlinear Partial Differential Equation Discovery
14. Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes
15. Dynamic Batch Process Monitoring Based on Time-Slice Latent Variable Correlation Analysis
16. Data-Driven Communication Efficient Distributed Monitoring for Multiunit Industrial Plant-Wide Processes
17. Dynamic Nonlinear Process Monitoring based on Dynamic Correlation Variable Selection and Kernel Principal Component Regression
18. Distributed Robust Process Monitoring Based on Optimized Denoising Autoencoder With Reinforcement Learning
19. Data-driven Soft Sensing for Batch Processes Using Neural Network-based Deep Quality-Relevant Representation Learning
20. Imbalanced Classification Based on Minority Clustering Synthetic Minority Oversampling Technique With Wind Turbine Fault Detection Application
21. Local–Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data
22. Neural network aided approximation and parameter inference of non-Markovian models of gene expression
23. Variational Bayesian probabilistic modeling framework for data-driven distributed process monitoring
24. Review for "Dynamic industrial process monitoring based on concurrent fast and slow‐time‐varying feature analytics"
25. Distributed-ensemble stacked autoencoder model for non-linear process monitoring
26. Neural network aided approximation and parameter inference of stochastic models of gene expression
27. Multimodal process monitoring based on transition-constrained Gaussian mixture model
28. Recursive correlated representation learning for adaptive monitoring of slowly varying processes
29. The Application of Artificial Intelligence in Prison
30. Fault Diagnostic Method Based on Deep Learning and Multimodel Feature Fusion for Complex Industrial Processes
31. Neighborhood Stable Correlation Analysis for Robust Monitoring of Multiunit Chemical Processes
32. Data‐driven nonlinear chemical process fault diagnosis based on hierarchical representation learning
33. Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares
34. Quality-relevant dynamic process monitoring based on dynamic total slow feature regression model
35. Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring
36. Deep relevant representation learning for soft sensing
37. Data-driven individual–joint learning framework for nonlinear process monitoring
38. Data-Driven Model Predictive Monitoring for Dynamic Processes
39. Learning Deep Correlated Representations for Nonlinear Process Monitoring
40. Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data
41. Multimode Process Monitoring Using Variational Bayesian Inference and Canonical Correlation Analysis
42. Review and Perspectives of Data-Driven Distributed Monitoring for Industrial Plant-Wide Processes
43. Just‐in‐time learning–multiple subspace support vector data description used for non‐Gaussian dynamic batch process monitoring
44. Multiobjective Two-Dimensional CCA-Based Monitoring for Successive Batch Processes With Industrial Injection Molding Application
45. Multivariate Statistical Monitoring of Key Operation Units of Batch Processes Based on Time-Slice CCA
46. Quality‐relevant dynamic process monitoring based on mutual information multiblock slow feature analysis
47. Quality-Driven Kernel Projection to Latent Structure Model for Nonlinear Process Monitoring
48. Deep Discriminative Representation Learning for Nonlinear Process Fault Detection
49. Parallel PCA–KPCA for nonlinear process monitoring
50. Locally Weighted Canonical Correlation Analysis for Nonlinear Process Monitoring
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