84 results on '"Qun-Xiong Zhu"'
Search Results
2. Novel Virtual Sample Generation Approach Using Cubic Spline Interpolation Based Autoencoder for Industrial Soft Sensing Under the Condition of Limited Samples.
3. Feature Representation-Based Cross-Modality Shared-Specific Network and Its Application in Multimode Process Soft Sensing.
4. Novel Distributed GRUs Based on Hybrid Self-Attention Mechanism for Dynamic Soft Sensing.
5. Soft Sensor Enhancement for Multimodal Industrial Process Data: Meta Regression Gaussian Mixture Variational Autoencoder.
6. Adaptive Multi-Head Self-Attention Based Supervised VAE for Industrial Soft Sensing With Missing Data.
7. Improved Multi-Distance ARMF Integrated With LTSA Based Pattern Matching Method and Its Application in Fault Diagnosis.
8. Data Mode-Related Generative Adversarial Network for Industrial Soft Sensor Application.
9. Novel Multiattribute Space-Based LSTM for Industrial Soft Sensor Applications.
10. Novel Schur Decomposition Orthogonal Exponential DLPP With Mixture Distance for Fault Diagnosis.
11. Novel Deep Layers-Extended Autoencoder With Correlation and Its Industrial Soft Sensing.
12. Adversarial Attacks for Neural Network-Based Industrial Soft Sensors: Mirror Output Attack and Translation Mirror Output Attack.
13. Quality Regularization-Based Semisupervised Adversarial Transfer Model With Unlabeled Data for Industrial Soft Sensing.
14. Improved Bi-LSTM With Distributed Nonlinear Extensions and Parallel Inputs for Soft Sensing.
15. Improved Locality Preserving Projections Based on Heat-Kernel and Cosine Weights for Fault Classification in Complex Industrial Processes.
16. Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis.
17. Farthest-Nearest Distance Neighborhood and Locality Projections Integrated With Bootstrap for Industrial Process Fault Diagnosis.
18. Novel Regularization Double Preserving Integrated With Neighborhood Locality Projections for Fault Diagnosis.
19. Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis.
20. A New Distributed Echo State Network Integrated With an Auto-Encoder for Dynamic Soft Sensing.
21. Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data.
22. Novel Imbalanced Fault Diagnosis Method based on CSMOTE integrated with LSDA and LightGBM for Industrial Process.
23. An Imbalanced Multifault Diagnosis Method Based on Bias Weights AdaBoost.
24. Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis.
25. Novel Stacked Input-Enhanced Supervised Autoencoder Integrated With Gated Recurrent Unit for Soft Sensing.
26. Novel Virtual Sample Generation Using Target-Relevant Autoencoder for Small Data-Based Soft Sensor.
27. Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Integrated With Sparse Autoencoder.
28. Novel virtual sample generation method based on data augmentation and weighted interpolation for soft sensing with small data.
29. Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing.
30. Quality Regularization based Semisupervised Adversarial Transfer Model with Unlabeled Data for Industrial Soft Sensing
31. A <scp>multi‐fault</scp> diagnosis method based on improved <scp>SMOTE</scp> for <scp>class‐imbalanced</scp> data
32. Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach
33. A novel density ratio‐based batch active learning fault diagnosis method integrated with adaptive Laplacian graph trimming
34. A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing
35. Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor
36. Author response for 'A novel imbalanced fault diagnosis method based on area identification conditional generative adversarial networks'
37. Improved Virtual Sample Generation Method Using Enhanced Conditional Generative Adversarial Networks with Cycle Structures for Soft Sensors with Limited Data
38. An Interval Prediction Model based on Improved Double Echo State Network and Bootstrap
39. Fault Diagnosis Using Improved Discrimination Locality Preserving Projections Method Based on Cosine Distance for Industrial Process
40. Novel Mahalanobis Distance and Variable Nearest Neighbors to Construct Weight Matrix based LPP: Application of Fault Diagnosis
41. Research on Dual Extreme Learning Machine Based on Residual Structure and its application to process modeling
42. A Fault Diagnosis Approach Integrated LPP with AROMF for Process Industry
43. SMOTE-Based Fault Diagnosis Method for Unbalanced Samples
44. Co-training based virtual sample generation for solving the small sample size problem in process industry
45. Research and Application of Virtual Sample Generation Method Based on Conditional Generative Adversarial Network
46. Soft sensor development using novel multi-activation functions based ensemble echo state network
47. A Local Sensitive Discriminant Analysis Method Based on Mahalanobis Distance: Application of Industrial Process Fault Diagnosis
48. Research and Improvement of K2 Algorithm Based on Topological Sorting
49. Generative Wavelet-Multilayer Perception Feature Fusion Method for Zero-Shot Learning
50. Hierarchical Attention-based BiLSTM Network for Document Similarity Calculation
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.