Automatic detection of auroral Pc5 geomagnetic pulsation using machine learning approach guided with discrete wavelet transform

Earth and Planetary Sciences

• Artificial Neural Network 100%
• Wavelet 80%
• Model 60%
• Transform 60%
• Solar Cycle 60%
• Network 40%
• Approach 40%
• Investigation 40%
• Correlation 40%
• Algorithms 40%
• Wave 40%
• Record 40%
• Good 40%
• Magnetosphere 40%
• Geomagnetic Pulsation 40%
• Svalbard 40%
• Extremely Low Frequency 40%
• Automatic Detection 40%
• Machine Learning 40%
• Space Weather 20%
• Ionosphere 20%
• Coupling 20%
• Event 20%
• Amount 20%
• Average 20%
• Amplitude 20%
• Magnitude 20%
• Station 20%
• Data Set 20%
• Magnetic Field 20%
• Coefficient 20%
• Frequency Ranges 20%
• Consistency 20%
• Time Series 20%
• Weather Forecasting 20%
• Regression Analysis 20%
• Auroral Zone 20%
• Norm 20%
• Footprint 20%
• Background Noise 20%
• Geomagnetic Micropulsations 20%