Unmanned Aerial Vehicles in Smart Cities

Chapter 1 A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges

Chapter 2 UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges

Chapter 3 Machine Learning Applications for Internet of Flying Vehicles in Case of Critical and Environmental Cases

Chapter 4 Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network

Chapter 5 Detection and Identification of Vehicles from High-Resolution Aerial Images Using Deep Learning Approaches with the Tuned Parameters

Chapter 6 An Efficient Palm-Dorsa-Based Approach for Vein Image Enhancement and Feature Extraction in Cloud Computing Environment

Chapter 7 Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges

Chapter 8 UAV and Fog Computing for IoE-Based Systems: A Case Study on Environment Disasters Prediction and Recovery Plans

Chapter 9 Drone of IoT in 6G Wireless Communications: Technology, Challenges, and Future Aspects