Multi-UAV Allocation Framework for Predictive Crime Deterrence and Data Acquisition

Business & Economics

• Deterrence 99%
• Crime 88%
• Machine Learning 31%
• Prediction 19%
• Public Safety 16%
• Problem Formulation 15%
• System Architecture 14%
• Neural Networks 14%
• Security Issues 14%
• Sensor 13%
• Performance 13%
• Urban Areas 13%
• Placement 12%
• Prediction Model 12%
• Methodology 12%
• Energy Consumption 10%
• Police 10%
• Personnel 9%
• Scenarios 7%

Engineering & Materials Science

• Crime 100%
• Unmanned aerial vehicles (UAV) 77%
• Data acquisition 70%
• Machine learning 17%
• Law enforcement 13%
• Personnel 9%
• Energy utilization 8%
• Neural networks 7%
• Sensors 6%