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Unmanned Aerial Vehicles in Smart Cities

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Cover of 'Unmanned Aerial Vehicles in Smart Cities'

Table of Contents

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    Book Overview
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    Chapter 1 A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges
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    Chapter 2 UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges
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    Chapter 3 Machine Learning Applications for Internet of Flying Vehicles in Case of Critical and Environmental Cases
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    Chapter 4 Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network
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    Chapter 5 Detection and Identification of Vehicles from High-Resolution Aerial Images Using Deep Learning Approaches with the Tuned Parameters
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    Chapter 6 An Efficient Palm-Dorsa-Based Approach for Vein Image Enhancement and Feature Extraction in Cloud Computing Environment
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    Chapter 7 Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges
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    Chapter 8 UAV and Fog Computing for IoE-Based Systems: A Case Study on Environment Disasters Prediction and Recovery Plans
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    Chapter 9 Drone of IoT in 6G Wireless Communications: Technology, Challenges, and Future Aspects
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    Chapter 10 Image Processing in Unmanned Aerial Vehicles
Attention for Chapter 6: An Efficient Palm-Dorsa-Based Approach for Vein Image Enhancement and Feature Extraction in Cloud Computing Environment
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