A Novel Deep Learning-Based Robust Dual-Rate Dynamic Data Modeling for Quality Prediction

Keyphrases

• Deep Learning Methods 100%
• Quality Prediction 100%
• Dual-rate 100%
• Dynamic Data Modeling 100%
• Convolutional Neural Network 75%
• Sampling Rate 50%
• Dynamic Process 50%
• Process Data 50%
• Prediction Method 25%
• Modeling Method 25%
• Data-centric 25%
• Full Use 25%
• Data Deduplication 25%
• Dynamic Features 25%
• Traditional Data 25%
• Dynamic Data 25%
• Clean Data 25%
• Static Model 25%
• Process Dynamics 25%
• Fast Sampling 25%
• Generative Adversarial Imputation Network 25%
• Distillation Process 25%
• Dynamic Nonlinear Process 25%
• Air Quality Dataset 25%
• Missing Value Imputation 25%
• Channel Expansion 25%

Engineering

• Deep Learning Method 100%
• Convolutional Neural Network 100%
• Sampling Rate 66%
• Dynamic Process 66%
• Air Quality 33%
• Rate Data 33%
• Collected Data 33%
• Nonlinear Process 33%
• Process Dynamic 33%
• Static Model 33%
• Distillation 33%

Chemical Engineering

• Deep Learning Method 100%
• Neural Network 100%
• Distillation 33%