Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach

Computer Science

• Learning Approach 100%
• Deep Learning 100%
• Deep Reinforcement Learning 100%
• Optimization Problem 33%
• State Information 33%
• Energy Consumption 33%
• Energy Efficiency 33%
• Centralized Control 33%
• Harsh Environment 33%
• Points of Interest 33%
• Information Modeling 33%

Keyphrases

• Vehicular Crowdsensing 100%
• Interest Distribution 33%
• Adaptive Normalization 33%
• Asynchronous Architecture 33%
• Fit-for-use 33%
• Vehicle Charging Stations 33%
• Generic Model Control 33%