Using Support Vector Machine (SVM) with GPS Ionospheric TEC Estimations to Potentially Predict Earthquake Events

Keyphrases

• Earthquake 100%
• Support Vector Machine 100%
• Ionospheric Total Electron Content 100%
• Earthquake Events 100%
• Content Estimation 100%
• Machine Learning 50%
• Remote Sensing Technology 50%
• Troposphere 50%
• Strong Earthquake 50%
• Time Series Estimation 50%
• True Positive 50%
• True Negative 50%
• Skill Score 50%
• Ionosphere 50%
• True Skill Statistic 50%
• Total Electron Content 50%
• Content Data 50%
• Heidke Skill Score 50%
• Early Warning Signals 50%
• Earth's Crust 50%
• Negative Predictions 50%
• Learning Support 50%
• Large Earthquake 50%
• Stress Build-up 50%
• Natural Hazards 50%

Earth and Planetary Sciences

• Global Positioning System 100%
• Ionospherics 100%
• Total Electron Content 100%
• Support Vector Machine 100%
• Earthquake Event 100%
• Machine Learning 33%
• Time Series 33%
• Remote Sensing Technology 33%
• Troposphere 33%
• Timescale 33%
• Earth Crust 33%
• Lithosphere 33%
• Natural Hazard 33%