This book offers a comprehensive exploration of the Internet of Medical Things in the post-COVID-19 era. The COVID-19 epidemic has helped to expand the function of IoMT in healthcare at an exponential rate. The volume provides an overview of modern technologies used for the improvement of healthcare, such as IoT, artificial intelligence, robotics, big data, and wearable devices used in healthcare applications, with a focus on the detection and treatment of COVID-19 and related viruses. The volume presents the principles, state-of-the-art developments, architectures, real-world applications, actual case studies, results of IoMT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in IoMT-based telemedicine, health monitoring, early COVID detection, automatic intravenous fluids feeds, chest x-ray images, data collection for decision-making, security of health information, and more. Providing an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems, Internet of Medical Things in Smart Healthcare: Post-COVID-19 Pandemic Scenario will be valuable for faculty and students, researchers, academicians, healthcare professionals, healthcare developers, and policymakers as well as for those in management and information technology.

This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Predictive Analysis in Smart Agriculture deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications.

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

1) Scope of this book is to explore and present the modern computational engineering techniques and applications in the agriculture development. Recent technologies such as cloud computing, IoT, Big data, Machine learning are focused here for smart agricultural engineering. This book provides practical and use case oriented approaches for Agro IoT systems. 2) This filed is emerging and hence the proposed book, will remain in demand for at least next 10 years, until there is an impressive advancement in technology. 3) This proposed book covers Automated Agriculture & Use of drones and robotics, hardware innovations to support cost effective agriculture, which are not covered in existing publications.

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Focusses on important perspectives of the Internet of Drones (IoD) Emphasizes drone deployment in smart cities, smart agriculture, smart healthcare, and 3D mapping Covers challenges in drone design for applications with security and privacy issues Reviews diversified drone applications with real-use cases from modern drone players ranging from startup companies to big giants in the drone industry Includes different aspects of drone design such as hardware and software architecture, potential applications, and opportunities

Focusing on different tools, platforms, and techniques, Blockchain and the Smart City: Infrastructure and Implementation uses case studies from around the world to examine blockchain deployment in diverse smart city applications. The book begins by examining the fundamental theories and concepts of blockchain. It looks at key smart cities' domains such as banking, insurance, healthcare, and supply chain management. It examines Using case studies for each domain, the book looks at payment mechanisms, fog/edge computing, green computing, and algorithms and consensus mechanisms for smart cities implementation. It looks at tools such as Hyperledger, Etherium, Corda, IBM Blockchain, Hydrachain, as well as policies and regulatory standards, applications, solutions, and methodologies. While exploring future blockchain ecosystems for smart and sustainable city life, the book concludes with the research challenges and opportunities academics, researchers, and companies in implementing blockchain applications.

Green Blockchain Technology for Sustainable Smart Cities presents a detailed exploration of the adaptation and implementation of green blockchain technology for sustainable and eco-friendly smart city applications. This book covers all aspects of the topic and explores smart cities ecosystem applications of blockchain technology. Novel architectural and business blockchain use case solutions in smart city implementations are at the core of this book, which will be beneficial for all researchers, engineers, graduate students, smart city practitioners, and city administrators who are engaged in green blockchain and smart cities-related technologies.

Handbook of Research on Blockchain Technology presents the latest information on the adaptation and implementation of Blockchain technologies in real world business, scientific, healthcare and biomedical applications. The book's editors present the rapid advancements in existing business models by applying Blockchain techniques. Novel architectural solutions in the deployment of Blockchain comprise the core aspects of this book. Several use cases with IoT, biomedical engineering, and smart cities are also incorporated. As Blockchain is a relatively new technology that exploits decentralized networks and is used in many sectors for reliable, cost-effective and rapid business transactions, this book is a welcomed addition on existing knowledge. Financial services, retail, insurance, logistics, supply chain, public sectors and biomedical industries are now investing in Blockchain research and technologies for their business growth. Blockchain prevents double spending in financial transactions without the need of a trusted authority or central server. It is a decentralized ledger platform that facilitates verifiable transactions between parties in a secure and smart way.