Deep Learning and Its Applications for Vehicle Networks (Paperback, 1)

Part I. Deep Learning for Vehicle Safety and Security

1. Deep Learning for Vehicle Safety. 2. Deep Learning for Driver Drowsiness Classification for a Safe Vehicle Application. 3. A Deep Learning Perspective on Connected Automated Vehicle (CAV) Cybersecurity and Threat Intelligence.^.

Part II. Deep Learning for Vehicle Communications

4. Deep Learning for UAV Network Optimization. 5. State-of-the-Art in PHY Layer Deep Learning for Future Wireless Communication Systems and Networks. 6. Deep Learning-Based Index Modulation Systems for Vehicle Communications. 7. Deep Reinforcement Learning Applications in Connected-Automated Transportation Systems.

Part III. Deep Learning for Vehicle Control

8. Vehicle Emission Control on Road with Temporal Tra?c Information using Deep Reinforcement Learning. 9. Load Prediction of Electric Vehicle Charging Pile. 10. Deep Learning for Autonomous Vehicles: A Vision-Based Approach to Self-Adapted Robust Control.

Part IV. DL for Information Management

11. A Natural Language Processing Based Approach for Automating IoT Search. 12. Towards Incentive-Compatible Vehicular Crowdsensing: A Reinforcement Learning-Based Approach. 13. Sub-Signal Detection from Noisy Complex Signals Using Deep Learning and Mathematical Morphology.

Part V. Miscellaneous

14. The Basics of Deep Learning Algorithms and their effect on driving behavior and vehicle communications. 15. Integrated Simulation of Deep Learning, Computer Vision and Physical Layer of UAV and Ground Vehicle Networks.