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Exploring many aspects of blockchain technologies and providing an overview of the latest cuttingedge developments along with their diversified business applications, this volume addresses the challenges, emerging issues, and problems in classical centralized architecture and covers how blockchain platforms provide almost magical solutions and novel services for improving business processes. Focusing on blockchain technology-based distributed transactions for industrial use, the chapters address applications in sectors such as healthcare, pharmaceutical drug supply, finance and banking, agriculture and farming, semantic web services, etc. The book explores blockchain applications associated with security issues, cryptocurrencies, cloud computing, Internet of Things, estimating intelligence (of crows, as an example) using artificial intelligence, and more. The chapters discuss deployment, feasibility studies, and the many diverse services offered by blockchain technology
This essential book reviews how digital health ventures can be integrated with more traditional techniques to revolutionize the healthcare system. Details of the current state of the digital marketplace, the available tools for early detection and diagnostics that presently employ digital technologies are provided. Relevant aspects of blockchain, artificial intelligence including data lake development and data analytics are described. The role of regulators and legislation including GDPR are also covered. Hybrid Healthcare provides a thorough overview of how digital health entrepreneurs will need to employ a hybrid approach to address many healthcare challenges of the 21st century. It is therefore an indispensable resource for all those seeking to develop their knowledge of this rapidly growing sector.
"This book, Hybridization of Blockchain and Cloud Computing: Overcoming Security Issues in IoT, explores many aspects of blockchain technologies and provides an overview of the latest cutting-edge developments along with their diversified business applications. It addresses the challenges, emerging issues, and problems in classical centralized architecture and how blockchain platforms provide almost magical solutions and novel services for improving business processes. Focusing on blockchain technology-based distributed transactions for industrial use, the chapters address applications in sectors such as healthcare, pharmaceutical drug supply, finance and banking, agriculture and farming, semantic web services, etc. The book explores blockchain applications associated with security issues, cryptocurrencies, cloud computing, Internet of Things, estimating intelligence (of crows, as an example) using artificial intelligence, and more. The chapters discuss deployment, feasibility studies, and the many diverse services offered by blockchain technology. This volume will provide valuable up-to-date information for researchers, professionals, and anyone involved in developing an interactive secured environment for their respective domains."--
This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation. Features: • Focuses on hybridization and optimization of machine learning techniques. • Reviews supervised, unsupervised, and reinforcement learning using case study-based applications. • Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing. • Explains computing models using real-world examples and dataset-based experiments. • Includes case study-based explanations and usage for machine learning technologies and applications. This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
This book provides a comprehensive overview of blockchain for 6G-enabled network-based applications. Following the key services of blockchain technology, this book will be instrumental to ideate and understand the necessities, challenges, and various case studies of different 6G-based applications. The emphasis is on understanding the contributions of blockchain technology in 6G-enabled applications, and its aim is to give insights into evolution, research directions, challenges, and the ways to empower 6G applications through blockchain. The book consistently emphasizes the missing connection between blockchain and 6G-enabled network applications. The entire ecosystem between these two futuristic technologies is explained in a comprehensive manner. The book constitutes a one-stop guide to students, researchers, and industry professionals. The book progresses from a general introduction toward more technical aspects while remaining easy to understand throughout. Comprehensive elaboration of material is supplemented with examples and diagrams, followed by easily understandable approaches with regard to technical information given thereon. Blockchain and its applications in 6G-enabled applications can drive many powerful solutions to real-world technical, scientific, and social problems. This book presents the most recent and exciting advances in blockchain for 6G-enabled network applications. Overall, this book is a complete outlet and is designed exclusively for professionals, scientists, technologists, developers, designers, and researchers in network technologies around blockchain integration with IoT, blockchain technology, information technology, and 6G-enabled industrial applications. Secondary readers include professionals involved in policy making and administration, security of public data and law, network policy developers, blockchain technology experts, regulators, and decision makers in government administrations.
Computational Intelligence and Blockchain in Complex Systems provides readers with a guide to understanding the dynamics of AI, Machine Learning, and Computational Intelligence in Blockchain, and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications. The book examines the role of Computational Intelligence and Machine Learning in the development of algorithms to deploy Blockchain technology across a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and supply chain. The authors cover the unique and developing intersection between cyber security and Blockchain in modern networks, as well as in-depth studies on cyber security challenges and multidisciplinary methods in modern Blockchain networks. Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods, especially the complex algorithms involved in Blockchain security aspects for hashing, coding, and decoding. Computational Intelligence and Blockchain in Complex Systems provides readers with the most in-depth technical guide to the intersection of Computational Intelligence and Blockchain, two of the most important technologies for the development of next generation complex systems. - Covers the research issues and concepts of machine learning technology in blockchain - Provides in-depth information about handling and managing personal data by machine learning methods in blockchain - Helps readers understand the links between computational intelligence, blockchain, complex systems, and developing secure applications in multidisciplinary sectors
This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.