Developing novel low complexity models using received in-phase and quadrature-phase samples for interference detection and classification in Wireless Sensor Network and GPS edge devices

Computer Science

• Wireless Sensor Network 100%
• zigbee 100%
• Global Positioning System 100%
• Model Complexity 100%
• software-defined radio 75%
• Extreme Gradient Boosting 50%
• Decision-Making 25%
• Testbed 25%
• Optical Spectrum 25%
• Data Type 25%
• Monte Carlo Simulation 25%
• Wireless Network 25%
• Classification Technique 25%
• Embedded Device 25%
• Support Vector Machine 25%
• Neural Network Model 25%
• Network Application 25%
• Critical Application 25%
• Deep Neural Network 25%
• Transmitted Signal 25%
• Raspberry Pi 25%
• Average Accuracy 25%
• Legitimate Node 25%
• Commercial off the Shelf 25%
• Privacy Requirement 25%
• Internet of Medical Things 25%
• Open Standard 25%
• Spectral Image 25%
• Security Device 25%
• Node Classification 25%
• Machine Learning Model 25%
• Diagnosis 25%