| Description |
1 online resource (xi, 187 pages) : illustrations |
| Series |
Unmanned System Technologies |
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Unmanned system technologies
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| Contents |
Intro -- Preface -- Contents -- About the Editor -- A Comprehensive Review on the Use of AI in UAV Communications: Enabling Technologies, Applications, and Challenges -- 1 Introduction -- 2 Applications -- 2.1 Intelligent Transportation Systems (ITSs) -- 2.2 Agriculture -- 2.3 Disaster Management -- 2.4 Security and Surveillance -- 2.5 Remote Sensing and Geology -- 2.6 Healthcare -- 2.7 Military -- 2.8 Smart Cities -- 3 Applied Communication Protocols and Technologies -- 4 Communication Architectures -- 4.1 UAV Components -- 4.1.1 Primary Components -- 4.1.2 Secondary Components |
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5 Applied AI -- 5.1 Design Factors and Requirements -- 5.1.1 Hard Design Factors -- 5.1.2 Soft Design Factors -- 5.2 Features -- 5.3 Online Vs. Offline Classifications -- 6 Open Issues -- 6.1 Wireless Challenges -- 6.2 Security -- 6.3 UAV Autonomy -- 6.4 Deep Learning Challenges -- 7 Conclusions -- References -- UAVs Healthcare Applications, Communication Protocols, Deployment Strategies, and Security Challenges -- 1 Introduction -- 2 UAVs Application in Healthcare: A Brief Overview -- 3 UAVs Communication Protocols and Technologies -- 4 UAVs Deployment Techniques -- 4.1 UAVs Random Deployment |
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4.2 UAVs Controlled Deployment -- 5 UAVs Security Aspects and Issues -- 6 Challenges and Future Research Directions -- 6.1 Challenges -- 6.2 Future Research Trends -- 7 Conclusion -- References -- Machine Learning Applications for Internet of Flying Vehicles in Case of Critical and Environmental Cases -- 1 Introduction -- 2 Related Works -- 3 Suggested Framework -- 3.1 Severe Environmental Cases -- 3.2 Accidents and Emergency Cases -- 3.3 Real-Time Traffic Management -- 3.4 Crowded Events Surveillance -- 3.5 Deployment Aspects -- 4 Conclusions and Future Works -- References |
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Trends, Issues, and Challenges in the Domain of IoT-Based Vehicular Cloud Network -- 1 Introduction -- 2 Vehicular Cloud -- 3 IoT-Based Vehicular Cloud Computing and Application Scenarios -- 4 Challenges and Currents Issues in IoT-Based Vehicular Cloud Network -- 4.1 Application Programming Interfaces (APIs) -- 4.2 Security and Privacy -- 4.3 Performance and Reliability -- 4.4 Big Data -- 4.5 Heterogeneity and Interoperability -- 4.6 Cloud-Layered Architecture and Service Models Issues and Challenges -- 5 Machine Learning for IoT-Based Vehicular Cloud Network |
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6 Blockchain for IoT-Based Vehicular Cloud Network -- 7 Conclusion -- References -- Detection and Identification of Vehicles from High-Resolution Aerial Images Using Deep Learning Approaches with the Tuned Parameters -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Proposed System -- 3.2 Pre-Processing -- 3.3 Region Proposal Network -- 4 Vehicle Classification -- 5 Dataset -- 6 Training Parameters and Implementation Details -- 7 Experiments and Results -- 8 Conclusion -- References |
| Summary |
This book addresses the major challenges in realizing unmanned aerial vehicles (UAVs) in IoT-based Smart Cities. The challenges tackled vary from cost and energy efficiency to availability and service quality. The aim of this book is to focus on both the design and implementation aspects of the UAV-based approaches in IoT-enabled smart cities applications that are enabled and supported by wireless sensor networks, 5G, and beyond. The contributors mainly focus on data delivery approaches and their performability aspects. This book is meant for readers of varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies. Involves the most up to date unmanned aerial vehicles (UAV) assessment and evaluation approaches Includes innovative operational ideas in agriculture, surveillance, rescue, etc. Pertains researchers, scientists, engineers and practitioners in the field of smart cities, IoT, and communications Fadi Al-Turjman received his Ph. D. from Queens University, Canada. He is a full professor and a research center director at Near East University, Nicosia. He is a leading authority in the area of IoT and intelligent systems. His publication history spans over 250 publications in addition to his editorialship in top journals such as the IEEE Communication Surveys and Tutorials, and the Elsevier Sustaibable Cities and Society |
| Bibliography |
Includes bibliographical references and index |
| Notes |
An Efficient Palm-Dorsa-Based Approach for Vein ImageEnhancement and Feature Extraction in Cloud ComputingEnvironment |
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Print version record |
| Subject |
Drone aircraft.
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Smart cities.
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drone airplanes.
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Robotics.
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Communications engineering -- telecommunications.
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Databases.
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Network hardware.
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Electrical engineering.
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Technology & Engineering -- Robotics.
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Technology & Engineering -- Telecommunications.
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Computers -- Data Processing.
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Computers -- Hardware -- Network Hardware.
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Technology & Engineering -- Electrical.
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Drone aircraft
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Smart cities
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| Form |
Electronic book
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| Author |
Al-Turjman, Fadi
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| ISBN |
9783030387129 |
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3030387127 |
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