Prediction of CO₂ capture capability of 0.5 MW MEA demo plant using three different deep learning pipelines

Engineering

• Deep Learning 80%
• Carbon Capture 50%
• Prediction 30%
• Deep Neural Network 20%
• Accuracy 20%
• Feature Extraction 10%
• Computation Time 10%
• Global Warming 10%
• Process Chemical 10%
• Raw Data 10%
• Climatic Change 10%
• Temperature 10%
• Energy Engineering 10%
• Power Plant 10%
• High Accuracy 10%
• Cleaning 10%

Material Science

• Pipeline 100%
• Gas 30%
• Absorber 20%

Chemical Engineering

• Deep Learning 80%
• Amine 10%
• Temperature 10%