Book description
DRONE TECHNOLOGYThis book provides a holistic and valuable insight into the revolutionary world of unmanned aerial vehicles (UAV).
The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.
Audience
The book will be read and consulted by a range of industry engineers involved with introducing drone technology to their daily operations.
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Preface
- 1 Drone Technologies: State-of-the-Art, Challenges, and Future Scope
-
2 Introduction to Drone Flights—An Eye Witness for Flying Devices to the New Destinations
- 2.1 Introduction
- 2.2 How Drones Work and Their Anatomy
- 2.3 Salient Features and Important Codes with Public Awareness with Respect to Safety and Necessary Precautionary Points
- 2.4 Top 10 Stunning Applications of Drone Technology
- 2.5 Drones in Enterprises: What Value Do They Add? Work Place Safety and Industry Benchmarks
- 2.6 Advantages and Disadvantages of Drones
- 2.7 Drone Technology as Career and Offered Jobs in the Current Industry
- 2.8 Societal Impact—Commercial Drones
- 2.9 Drones Research Challenges and Solutions
- 2.10 Conclusion
- References
- 3 Drone/UAV Design Development is Important in a Wide Range of Applications: A Critical Review
- 4 A Comprehensive Study on Design and Control of Unmanned Aerial Vehicles
- 5 Some Studies of the Latest Artificial Intelligence Applications of Dronesare Explored in Detail with Application Phenomena
- 6 Drone Technologies: Aviation Strategies, Challenges, and Applications
- 7 AI Applications of Drones
- 8 Applications of Drones—A Review
-
9 Drones Enable IoT Applications for Smart Cities
- 9.1 Introduction to Smart Cities
- 9.2 Components and Characteristics of Smart Cities
- 9.3 The Role of IoT in Smart Cities
- 9.4 General Approach to Implement IoT Solutions in Smart City Design
- 9.5 Challenges in IoT Solutions to Use in Smart City Design
- 9.6 Introduction to Unmanned Aerial Vehicles
- 9.7 Opportunities and Challenges of UAV’s in Smart Cities
- 9.8 Drone-Enabled IoT
- 9.9 Conclusion and Future Scope
- References
- 10 AI-Based Smart Surveillance for Drowning and Theft Detection on Beaches Using Drones
-
11 Algorithms to Mitigate Cyber Security Threats by Employing Intelligent Machine Learning Models in the Design of IoT-Aided Drones
- 11.1 Introduction
- 11.2 Research Methodology
- 11.3 Motivation
- 11.4 Machine Learning for Drone Security
- 11.5 Use of AI in Cyber Security
- 11.6 Use of AI in System to Achieve Robustness, Resilience and Response
- 11.7 NIC Algorithms in Cyber Security
- 11.8 Example Systems for AI and ML Applications for Cyber Security Diagnose
- 11.9 Introduction of New Threats
- 11.10 Areas were Malicious Use of Deepfakes is Trending
- 11.11 Model-Aided Deep Reinforcement Learning for Sample-Efficient UAV Trajectory Design in IoT Networks
- 11.12 Model-Aided Deep Q-Learning
- 11.13 Algorithm Model-Aided Deep Q-Learning Trajectory Design
- 11.14 Machine Learning for Drone Security
- 11.15 Surveillance
- 11.16 Technologies Driving Drones’ Success
- 11.17 Related Work
- 11.18 Drones for Public Safety
- 11.19 Securing Drones
- 11.20 Future Work
- 11.21 Contributions
- Conclusion
- References
- 12 IoT-Enabled Unmanned Aerial Vehicle
- 13 Unmanned Aerial Vehicle for Land Mine Detection and Illegal Migration Surveillance Support in Military Applications
-
14 Importance of Drone Technology in Agriculture
- 14.1 Introduction
- 14.2 Components of a Drone
- 14.3 Study of Natural Resources
- 14.4 Soil Fertility Management
- 14.5 Irrigation and Water Management
- 14.6 Crop Disease Identification
- 14.7 Pest Control Management
- 14.8 Agricultural Drones to Improve Crop Yield Management Efficiency
- 14.9 Issues and Challenges
- 14.10 Conclusion
- References
- 15 Network Intrusion Detection of Drones Using Recurrent Neural Networks
- 16 Drone-Enabled Smart Healthcare System for Smart Cities
- 17 Drone Delivery
- Index
- End User License Agreement
Product information
- Title: Drone Technology
- Author(s):
- Release date: June 2023
- Publisher(s): Wiley-Scrivener
- ISBN: 9781394166534
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