CNN-MoE Based Framework for Classification of Respiratory Anomalies and Lung Disease Detection

Computer Science

• Convolutional Neural Network 100%
• Deep Learning Method 100%
• Learning System 33%
• Prediction Accuracy 33%
• Data Augmentation 33%
• Real-Time Application 33%
• Learning Framework 33%
• Performance Model 33%
• Time Resolution 33%
• Model Complexity 33%
• Feature Extraction 33%

Engineering

• Convolutional Neural Network 100%
• Deep Learning Method 100%
• Spectrogram 100%
• State-of-the-Art Method 33%
• Front End 33%
• Conducted Experiment 33%
• Learning System 33%
• Feature Extraction 33%

Earth and Planetary Sciences

• Real Time 33%
• State of the Art 33%
• Pattern Recognition 33%