Mapping sensors measurements to resident space objects energy and state parameters space via extreme learning machines

Earth and Planetary Sciences

• Cartography 100%
• State 100%
• Parameter 100%
• Machine Learning 100%
• Behavior 70%
• Model 60%
• Set 50%
• Knowledge 20%
• Train 20%
• Emerging 20%
• Network 10%
• Characterization 10%
• State of the Art 10%
• Time 10%
• Datum 10%
• Environment 10%
• Earth 10%
• United States of America 10%
• Context 10%
• Simulation 10%
• Foci 10%
• Shape 10%
• Inference 10%
• Debris 10%
• Domain 10%
• Regression 10%
• Physical Process 10%
• List 10%
• Orbit 10%
• Angular Momentum 10%

Computer Science

• And-States 100%
• Sensor Measurement 100%
• Parameter Space 100%
• Extreme Learning Machine 100%
• Relationships 66%
• Models 44%
• Physical Model 22%
• Simulation 11%
• Contexts 11%
• Domains 11%
• Machine Learning 11%
• Critical Component 11%
• Angular Momentum 11%
• Explicit Representation 11%
• Total Population 11%
• Identify Pattern 11%
• Measurement Object 11%
• Object Catalog 11%

Physics

• Independent Variables 100%
• Machine Learning 100%
• Orbitals 20%
• Knowledge 20%
• Foci 10%
• Environment 10%
• Simulation 10%
• Earth 10%
• Populations 10%
• Domains 10%
• Debris 10%
• Physical Process 10%
• Angular Momentum 10%