This book offers a solutions-driven exploration of how blockchain can practically advance global sustainability and circular economy goals. It uniquely integrates technological, ethical, and environmental dimensions, making blockchain innovations accessible beyond finance. Covering fundamentals, real-world applications in waste management, and global adoption trends, the book bridges the gap between theory and sustainable practice. Designed for researchers, industry professionals, policyma...

This book provides a comprehensive discussion of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, DL methods for medical image analysis, and DL-based clinical computer-aided diagnosis systems. It further presents algorithms, models, software, and tools in the field of bioinformatics.This book:Presents mathematical principles of DL algorithms such as convolutional neural networks and r...

Sustainable Green Cloud Computing: Principles and Practices offers a comprehensive and analytically grounded examination of cloud computing through the lens of sustainability, security, and modern software engineering. Addressing the growing environmental and operational challenges associated with large-scale digital infrastructure, this volume integrates green computing principles with cloud service design, virtualization technologies, and secure programming practices. It provides a struc...

This book highlights various evolutionary algorithm techniques for various medical conditions and introduces medical applications of evolutionary computation for real-time diagnosis.Evolutionary Intelligence for Healthcare Applications presents how evolutionary intelligence can be used in smart healthcare systems involving big data analytics, mobile health, personalized medicine, and clinical trial data management. It focuses on emerging concepts and approaches and highlights vario...

This book highlights the transformative synergy between Blockchain and Federated Learning in developing privacy-focused solutions for DeepFex**.** By leveraging the decentralized nature of blockchain alongside the privacy-preserving capabilities of federated learning, it offers a novel approach to combating the growing challenges of deepfake technology. The integration of these two cutting-edge technologies ensures data security, model integrity, and transparent collaboration, making it po...

Sustainable Green Cloud Computing: Principles and Practices offers a comprehensive and analytically grounded examination of cloud computing through the lens of sustainability, security, and modern software engineering. Addressing the growing environmental and operational challenges associated with large-scale digital infrastructure, this volume integrates green computing principles with cloud service design, virtualization technologies, and secure programming practices. It provides a struc...

This reference text discusses various security techniques and challenges for cloud data protection from both software and hardware aspects.The text provides readers with an overview of cloud computing, beginning with historical perspectives on mainframe computers and early networking protocols, moving to current issues such as security of hardware and networks, performance, evolving IoT areas, edge computing, etc. It also deals with threat detection and incident response in cloud s...

Deep Learning for Medical Applications with Unique Data informs readers about the most recent deep learning-based medical applications in which only unique data gathered in real cases are used. The book provides examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, medical image registration, time series analysis, medical data synthesis, drug discovery, and pre-processing operations. The...

This book presents both state-of-the-art research developments and practical guidance on approaches, technologies and frameworks for the emerging cloud paradigm. Topics and features: presents the state of the art in cloud technologies, infrastructures, and service delivery and deployment models; discusses relevant theoretical frameworks, practical approaches and suggested methodologies; offers guidance and best practices for the development of cloud-based services and infrastructures, and ...

This book provides information on interdependencies of medicine and telecommunications engineering and how Covid exemplifies how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear cut views on medical technologies. The authors provide chapters on processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artif...

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries.To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently...

This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple id...