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Unmanned Aerial Vehicles in Smart Cities

Overview of attention for book
Cover of 'Unmanned Aerial Vehicles in Smart Cities'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges
  3. Altmetric Badge
    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 2: UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges
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Citations

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Chapter title
UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges
Chapter number 2
Book title
Unmanned Aerial Vehicles in Smart Cities
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-38712-9_2
Book ISBNs
978-3-03-038711-2, 978-3-03-038712-9
Authors

Zaib Ullah, Fadi Al-Turjman, Leonardo Mostarda, Ullah, Zaib, Al-Turjman, Fadi, Mostarda, Leonardo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Economics, Econometrics and Finance 1 25%
Unknown 2 50%

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