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 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 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 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...

Quantum computers are unparalleled in terms of computational power, and they have a multitude of promising applications. However, these computers are prone to noise and instability caused by environmental interactions, making the use of these advanced machines rather impractical in most scenarios. Despite these challenges, Real-World Challenges in Quantum Electronics and Machine Computing provides innovative solutions to navigate the complexities of quantum computation, thus offering hope ...

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 highlights future research directions and latent solutions by integrating AI and Blockchain 6G networks, comprising computation efficiency, algorithms robustness, hardware development and energy management. This book brings together leading researchers in Academia and industry from diverse backgrounds to deliver to the technical community an outline of emerging technologies, advanced architectures, challenges, open issues and future directions of 6G networks. This book is written...

This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective.Further, it provides an overview of new methodologies designed to take mobile big data t...

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 ...