Unmanned Aircraft Systems
eBook - PDF

Unmanned Aircraft Systems

  1. 684 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

About this book

This book is an essential resource for anyone looking to understand the cutting-edge applications and evolving technologies of Unmanned Aerial Systems, showcasing how they enhance safety and efficiency in monitoring, emergency response, and smart city development.

With the evolution of Unmanned Aircraft Systems (UAS), its applications can be observed in the fields of monitoring for fire detection, sustainable computing, emergencies, and law enforcement. They can be useful for monitoring or screening applications, as well as the deployment of smart cities, security monitoring, and communication establishments at rare locations or unapproachable locations. Thus, the wireless ad-hoc networks of Unmanned Aerial Vehicles (UAVs) and infrastructure-based UAVs can be utilized in this proposal. Unmanned aircraft systems (UAS) extend human potential and allow us to execute dangerous or difficult tasks safely and efficiently, saving time, money, and, most importantly, lives. UAS can help police, fire, and other public workers save lives in emergencies like natural disasters, locate missing animals and children, or help fight fighters.

Unmanned Aircraft Systems contains novel contributions and emerging trends in the area of Unmanned Aerial Vehicles (UAV), drones, and aircraft without a human pilot aboard. It has three segments incorporating technological advancements and future trends in UAS, the policies and security aspects of UAVs, and their applications as an intelligent system. Along with these state-of-the-art techniques, this book also incorporates advances in AI and machine learning, deep learning, IoT technology, cybersecurity and Blockchain, UAV regulation policies in the United States and Europe, SOTA in ITS, and many more technological advancements, which makes this book the pioneer and benchmarking reference in these areas.

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Yes, you can access Unmanned Aircraft Systems by Sachin Kumar Gupta,Manoj Kumar,Anand Nayyar,Shubham Mahajan in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Aeronautic & Astronautic Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. CoverImage
  7. Series Page
  8. Title Page
  9. Copyright Page
  10. Contents
  11. Preface
  12. Chapter 1 Unmanned Aircraft Systems (UASs): Technology, Applications, and Challenges
  13. Chapter 2 Enhancing the Effectiveness of Drones to Monitor Mars Surface Exploration: A Study
  14. Chapter 3 IoT-Enabled UAV: A Comprehensive Review of Technological Change in Indian Farming
  15. Chapter 4 Applications of AI in UAVs Using In-Flight Parameters
  16. Chapter 5 AVFD: Autonomous Vision-Based Fleet Management for Drone Delivery Optimization in E-Commerce
  17. Chapter 6 STEDSDR: Simulated Testing and Evaluation of Drone Surveillance for Disaster Response
  18. Chapter 7 Review on Assessment of Land Degradation in Watershed Using Geospatial Technique Based on Unmanned Aircraft Systems
  19. Chapter 8 Unmanned Aircraft Systems (UAS), Surveillance, Risk Management to Cybersecurity and Legal Regulation Landscape: Unraveling the Future Analysis, Challenges, Demand, and Benefits in the High Sky Exploring the Strange New World
  20. Chapter 9 Navigating the Future: Unmanned Aerial Systems in IoT Paradigms
  21. Chapter 10 Dynamic Modeling and Designing Robust MIMO Controller for Rudderless Flying-Wing UAVs
  22. Chapter 11 Enhancing Security for Unmanned Aircraft Systems in IoT Environments: Defense Mechanisms and Mitigation Strategies
  23. Chapter 12 Foldable Quadcopters: Design, Analysis, and Additive Manufacturing for Enhanced Aerial Mobility
  24. Chapter 13 A Perspective Analysis of UAV Flight Control Architecture Incorporating Ground Control Stations and Near-Actual Techniques
  25. Chapter 14 Optimal Transportation System Based on Adaptive Federated Learning Techniques for Healthcare IoV (HIoV)
  26. Index
  27. Also of Interest
  28. EULA