Complete automation of time-domain transient electromagnetic data processing using deep convolutional autoencoder

Engineering

• Time Domain 100%
• Electromagnetic Transient 100%
• Autoencoder 100%
• Learning Approach 60%
• Tasks 40%
• Subsurface 40%
• Acquired Data 40%
• Quality Data 20%
• Input Data 20%
• Dimensionality 20%
• Salient Feature 20%
• Power Line 20%
• Processing Task 20%
• Anomaly Detection 20%

Computer Science

• Data Processing 100%
• Autoencoder 100%
• Machine Learning Approach 40%
• Dimensionality Reduction 20%
• Reconstruction Error 20%
• Unsupervised Learning 20%
• Anomaly Detection 20%
• Supervised Method 20%
• Learning Approach 20%
• Processing Task 20%

Material Science

• Data Processing 100%