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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
  2. Altmetric Badge
    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 7: Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges
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Citations

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9 Mendeley
Summary Dimensions citations
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Chapter title
Leveraging Unmanned Aerial Vehicles in Mining Industry: Research Opportunities and Challenges
Chapter number 7
Book title
Unmanned Aerial Vehicles in Smart Cities
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-38712-9_7
Book ISBNs
978-3-03-038711-2, 978-3-03-038712-9
Authors

Alok Ranjan, H. B. Sahu, Prasant Misra, Bighnaraj Panigrahi, Ranjan, Alok, Sahu, H. B., Misra, Prasant, Panigrahi, Bighnaraj

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Unknown 5 56%
Readers by discipline Count As %
Earth and Planetary Sciences 1 11%
Medicine and Dentistry 1 11%
Unknown 7 78%

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