Convolutional neural network-based data anomaly detection considering class imbalance with limited data

Keyphrases

• Neural Network 100%
• Convolutional Neural Network 100%
• Class Imbalance 100%
• Data Anomaly Detection 100%
• Structural Health Monitoring System 66%
• Long-span Cable-stayed Bridge 33%
• Preprocessing Techniques 33%
• Heterogeneous Data 33%
• Data Pattern 33%
• Labeled Data 33%
• Accelerometer Data 33%
• Feature Extractor 33%
• Structural Condition Assessment 33%
• Multiple Patterns 33%
• Anomaly Detection System 33%
• Time Domain Data 33%
• Misclassification Bias 33%
• Data Anomalies 33%
• Frequency Domain Data 33%
• ResNet18 33%
• Focal Loss Function 33%

Computer Science

• Convolutional Neural Network 100%
• Anomaly Detection 100%
• Class Imbalance 100%
• Monitoring System 66%
• Structural Health 66%
• Collected Data 66%
• Structural Condition 33%
• Heterogeneous Data 33%
• Preprocessing Step 33%
• Neural Network 33%
• Frequency Domain 33%
• Detection Method 33%

Earth and Planetary Sciences

• Monitoring System 100%
• Structural Health Monitoring 100%
• Preprocessing 50%
• Detection Method 50%