Drone Technology: Future Trends and Practical Applications - Hardcover

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Sachi Nandan Mohanty received his PhD from the Indian Institute of Technology Kharagpur, India. He is an associate professor, VIT-AP University, Andhra Pradesh. He has edited 24 books in association with several publishers including many with the Wiley-Scrivener imprint. His research areas include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition, and computational intelligence.

J.V.R. Ravindra is a professor of electronics and computer engineering and is the Principal of Vardhaman College of Engineering, Hyderabad. He holds a PhD in VLSI design from the Indian Institute of Technology, Hyderabad. He is working on quantum computing, wireless sensor networks, machine learning for VLSI, low power DSP architectures. Dr. Ravindra has 120 publications in reputed journals and conferences.

G. Surya Narayana, PhD, is an associate professor in the Department of CSE, Vardhaman College of Engineering, Hyderabad, India. He has more than 15 years of teaching and 11 years of research experience. He has 37 research publications in reputed journals, three books, and filed six Indian and international patents and two copyrights. His research interests are in artificial intelligence, machine learning, and big data analytics.

Chinmaya Ranjan Pattnaik, PhD, is a professor in the Department of Computer Science and Engineering at Ajay Binay Institute of Technology CDA, Cuttack, India. He has published 18 research papers in journals and conferences as well as filed six national and international patents. His fields of interest are machine learning and digital image processing.

Y. Mohamed Sirajudeen, PhD, is an assistant professor in the School of Computer Science and Engineering, VIT University, Andra Pradesh, India. His research areas are cloud computing, big data, blockchain, and the Internet of Things. He has published more than 25 research papers in international journals.

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This 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.