Albena Mihovska - Böcker

Deep Learning Approaches for Healthcare Data Analysis and Decision Making demystifies complex data-driven technologies, providing a clear framework for integrating advanced analytics into healthcare practices. With a focus on practical applications, the authors present a comprehensive digital transformation methodology that empowers readers to tackle the multifaceted challenges of healthcare data management. By leveraging deep learning techniques, readers will learn to analyze vast datasets, identify critical patterns, and develop predictive models that enhance diagnosis and treatment strategies while ensuring compliance with stringent data regulations. The book also addresses the pressing need for ethical AI practices, emphasizing patient privacy and data security. Real-world case studies illustrate how to implement personalized healthcare solutions and foster interdisciplinary collaboration, breaking down silos in knowledge and practice. Moreover, it explores innovative business models for sustainable AI integration, offering actionable insights for healthcare providers. This resource equips professionals with the tools to drive innovation, improve patient outcomes, and navigate the complexities of digital transformation in healthcare, making it a must-read for anyone at the intersection of technology and healthcare.Integrates deep learning and AI into healthcare practices, addressing data management and workflow optimizationIllustrates practical examples in the successful application of deep learning techniques in various healthcare settingsProvides insights into developing and implementing predictive models to enhance diagnosis and treatment strategiesIdentifies and addresses biases in predictive models to enhance trust and accountability in AI-driven decisionsPresents tools and methodologies for managing and analyzing large healthcare datasets to derive meaningful insights and improve decision-making

Based on cutting-edge research projects in the field, this comprehensive 4-volume book series provides the latest details and covers the most impactful aspects of mobile, wireless, and broadband communications development. These books present key systems and enabling technologies in a clear and accessible manner, offering you a detailed roadmap the future evolution of next generation communications. Drawing upon the insights of leading experts in the field, each of the four volumes is dedicated to an area of critical importance, including Radio Interfaces; Networks, Services and Applications; Reconfigurability; and Ad Hoc Networks.

Based on cutting-edge research projects in the field, this comprehensive 4-volume book series provides the latest details and covers the most impactful aspects of mobile, wireless, and broadband communications development. These books present key systems and enabling technologies in a clear and accessible manner, offering you a detailed roadmap the future evolution of next generation communications. Drawing upon the insights of leading experts in the field, each of the four volumes is dedicated to an area of critical importance, including Radio Interfaces; Networks, Services and Applications; Reconfigurability; and Ad Hoc Networks.

This book provides essential resources for industry, academia, and research professionals for understanding the potential evolving roadmap of Beyond 5G (B5G) and 6G technologies and their diverse applications.In the critical era of the evolution of the 5G mobile communication networks, wireless mobile communication technologies have already pivoted toward the next stages: Beyond 5G (B5G) and the upcoming Sixth Generation (6G). This book is an insightful collection that explores cutting-edge technologies and applications guiding the paths toward B5G and 6G mobile communication networks. Divided into two parts, Technologies and Applications, the book covers a broad spectrum of advancements or the future of mobile systems.The focus of Part I: Technologies and advanced techniques to B5G/6G is AI-enhanced language learning applications and the use of graph convolutional networks for channel and power allocation in device-to-device communication. It also explores machine learning methods for beam selection and unsupervised learning approaches in mobile network management. Topics such as frequency resource allocation in satellite communication, high-frequency mmWave analysis using clustering methods, and deep learning for network traffic prediction are highlighted. Furthermore, innovative concepts like area sweep coverage, hardware implementations for signal processing, and centralized radio access networks (C-RAN) are discussed, providing a glimpse into future dynamic radio resource allocation schemes.Part II: Applications addresses emerging trends such as quantum machine learning and the transformative potential of the Tactile Internet in enhancing healing and self-actualization. It also explores real-time system communication efficiencies, showcasing the practical impacts of these advancements.

The sixth generation of wireless communication (6G), succeeding 5G cellular technology, opens up several possibilities in terms of technology and its offered services. 6G is expected to allow usage of available higher frequency spectrums to cater to increased capacity, throughput, and low latency (<1 µs). 6G will witness the unification of various technologies, such as artificial intelligence (AI), machine learning (ML), augmented/virtual reality (AR/VR), etc., to provide an immersive user experience. It is foreseen as the accelerator of transformation and innovation globally.To make this book a fundamental resource, we have invited world-renowned experts in 6G from the industry and academia to pen down their ideas on different aspects of 6G research. The chapters in this book cover a broader scope and various related and unrelated verticals. Specifically, this book covers the following topics:6G use cases, requirements, and enabling technologiesnew spectrums and their challenges for 6Gprivacy preservation in 6G networksaerial infrastructure for 6G networkseconomic challenges associated with 6G wireless networks.The encompassing intent of this book is to explore the evolution from current 5G networks towards the future 6G networks from a service, air interface, and network perspective, thereby laying out a vision for 6G networks.