Overview

The current healthcare system faces complications including data acquisition, interpretation, and delivery challenges, particularly in out-of-hospital scenarios. The shortage of medical resources intensifies the demand for efficient information gathering and processing. Moreover, the potential of pervasive computing still needs to be explored in healthcare, limiting the industry's ability to leverage innovations like artificial intelligence, augmented reality, and virtual reality. Ubiquitous Computing and Technological Innovation for Universal Healthcare addresses the medical field's critical challenges. It presents innovative solutions grounded in the marriage of Unmanned Aerial Vehicles (UAV), pervasive computing, and metaverse intelligence. It outlines how these UAVs redefine out-of-hospital care, addressing the pressing need for efficient data collection and interpretation amid a global medical shortage. Integrating cognitive algorithms is explored to automate diagnosis and enhance healthcare systems' emergency responsiveness. The book explains how pervasive computing, an emerging paradigm, revolutionary concept envisions a society seamlessly connected through low-cost sensors, processors, and digital communication, creating an environment where computational and physical infrastructures harmoniously coexist. Thousands of sensor devices populate this environment, ushering in novel functionalities and specialized services that enhance user interaction and experience. The exploration then extends into metaverse healthcare analysis, a valuable tool converging artificial intelligence, augmented reality, and virtual reality. The book examines the potential of this analysis in delivering cost-effective treatment, improving patient outcomes, and influencing the future of medical practice. The book revolves around developing and integrating treatment programs leveraging UAV communication. Topics such as artificial intelligence, telemedicine, blockchain, digital twins, augmented reality, and virtual reality are delved into for their role in creating intelligent healthcare systems. The focus on rapid identification of underlying health issues, real-time monitoring in the metaverse, and the economic, social, and environmental impact of these systems adds depth to the discourse. Structured as a vital resource for researchers, academicians, industry professionals, policy-makers, and system designers, this book bridges the gap between theory and application.

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Arumugam Suresh Kumar graduated in Computer Science and Engineering (B.E) from Periyar University, India in 2003. Master's (M.E) in Computer Science and Engineering from Anna University, India in 2010. He has been awarded Ph.D in Computer Science and Engineering from Anna University, Chennai in 2017. He is having 18+ Teaching and Research experience in various institutions, and presently working as Professor in the department of Computer Science and Engineering at Jain (Deemed to be) University, Bangalore. He has published 20 SCI articles and more than 30 Scopus articles in peer reviewed journals. He has published 7 Indian Patent and received 1 Innovation Grand patent from Germany Patent. He has actively participated as reviewers in some of the international journals and member of IEEE, IAENG and CSI societies. His main research interest is in the area of Wireless Sensor Network, Internet of Things, Artificial Intelligence and Machine Learning. Dr. Ramesh Sekaran is a Professor and Program Head in the School of Computer Science and Engineering (Data Science) at JAIN (Deemed-to-be University). He obtained his Ph.D. from Anna University, Chennai, in 2015, along with a Master's Degree in Information Technology from Anna University, Coimbatore, and a Bachelor's Degree in Information Technology from Anna University, Chennai. With expertise in IoT Networking, Wireless Networks, Network Security, and Optimization Techniques, Dr. Sekaran's research interests span various domains of computer science. He has published over 100 refereed publications in renowned journals and conferences and authored 10 textbooks, emphasizing his dedication to knowledge dissemination. Dr. Ramesh Sekaran's contributions extend beyond research, as he serves as a reviewer for esteemed journals and holds numerous Indian and Australian patents. His outstanding work in IoT Networking earned him recognition as an Innovative Researcher by the World Research Council and the American Medical Council in 2020. Dr. Krishnan Batri possesses an extensive background in teaching, research, administration, and management spanning over 17+ years, and brings a wealth of knowledge and expertise to the field. Dr. Batri's educational journey includes BE, ME, and a Ph.D. in Computer Science and Engineering, from the National Institute of Technology, Tiruchirappalli. Areas of interest that captivate Dr. Krishnan Batri's expertise encompass Information Retrieval, Genetic Algorithm, Tabu Search, Artificial Intelligence, Microprocessor and Microcontrollers, and Embedded Systems. Dr. Batri has published several research papers in renowned journals. Additionally, he holds the distinction of being a Wipro Certified Faculty. Dr. Krishnan Batri has played a pivotal role in guiding Ph.D. scholars, with 13 successfully awarded degrees under his guidance. Dr. N.V.Kousik k is a Associate Prof., and currently work as a Lecturer in Computing and ICT dept. at Stanmore College, United Kingdom. Further on as an Editor work for Innovative science and technology publications. His current project is 'Energy Efficient Analysis for Routing in Datacenter MANET'.

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