Environmental noise sensing approach based on volunteered geographic information and spatio-temporal analysis with machine learning

Mathematics

• Sensing 100%
• Machine Learning 80%
• Mobile Applications 47%
• Mobile Devices 44%
• Prediction Model 31%
• Artificial Neural Network 31%
• Pollution 30%
• Support Vector Machine 30%
• Sensor 28%
• Monitor 27%
• Acoustics 25%
• Evaluate 19%
• Methodology 17%
• Model 7%
• WebGIS 3%

Engineering & Materials Science

• Machine learning 53%
• Noise pollution 51%
• Acoustic noise 39%
• Microphones 38%
• Geographic information systems 37%
• Mobile computing 30%
• Support vector machines 29%
• Neural networks 22%
• Sensors 18%