The internet of things (IoT) revolution has given rise to smart cities and villages all over the world. With technology advancements such as cloud computing, fog computing, and software-defined networking, it is necessary to examine ways that these environments can implement innovation for cost-effective citizen services and e-governance. Also, as cyber-physical systems are becoming more vulnerable with IoT attacks threatening their security and privacy, there is an even greater need for solutions that offer protection for all of these advancing technologies. The Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities is an essential research publication that combines theory and practice, reflecting on advancing technologies for the automation, protection, and sustainability of urban environments. Highlighting a wide range of topics such as blockchain, smart grid, and sustainability, this book is ideal for researchers, academicians, scientists, engineers, programmers, IT consultants, professionals, and policymakers.

This book presents a detailed exploration of adaption and implementation, as well as a 360-degree view spectrum of blockchain technologies in real-world business applications. Blockchain is gaining momentum in all sectors. This book offers a collection of protocol standards, issues, security improvements, applicability, features, and types of cryptocurrency in processing and through 5G technology. The book covers the evolution of blockchain from fundamental theories to present forms. It offers diversified business applications with usable case studies and provides successful implementations in cloud/edge computing, smart city, and IoT. The book emphasizes the advances and cutting-edge technologies along with the different tools and platforms. The primary audience for this book includes industry experts, researchers, graduates and under graduates, practitioners, and business managers who are engaged in blockchain and IoT-related technologies.

Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies

Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used in biomedical deep learning systems Includes informative case studies that help to explain the new technologies