http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
AI, cybersecurity and data science for drone and unmanned aerial vehicles
1 online resource (168 pages) : illustrations (black and white)
This book explores the transformative impact of drone technology and unmanned aerial systems (UAS) across diverse industries, from precision agriculture and logistics to disaster response and forensic investigations. It highlights how the integration of Artificial Intelligence (AI) into UAVs is addressing contemporary challenges, optimizing operations, and shaping the future of aerial systems. It offers technical methodologies, case studies, and a detailed roadmap for integrated drone forensics, making it an essential resource for understanding the dynamic sector of Intelligent Aerial Systems. Examines the integration of AI in drones and UAS, enhancing operational efficiency and investigative processes Covers the evolving landscape of drone technology, including swarms, autonomous systems, and forensic methodologies Focuses on specific sectors such as agriculture, logistics, and disaster response, offering practical insights, real-life examples, and future scenarios Explores the role of drones in delivery and logistics, transforming transportation systems by improving efficiency and reducing costs Explains the use of drones for public safety, smart city disaster response, and forensic investigations, providing critical insights for emergency operations This reference book serves as a comprehensive guide for professionals, researchers, and scholars interested in the rapidly advancing world of drone technology.
edited by Shishir Kumar Shandilya, Fernando Ortiz-Rodriguez, Smita Shandilya, Gerardo Romero.