Databaser

The book demonstrates unique and useful applications of AI, in particular COVID-19 and examines the challenges in the advancement of artificial intelligence in advance medical science. It will be useful to undergrad and postgraduate students, analysts, academicians, and high quality researches between digital healthcare technologies.

This book sheds light on the optimisation methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance.

The goal of this book is to examine problems, concerns, and solutions for supporting digital twins with Big Data and Artificial Intelligence (AI). The book also explains how to stream real-time big data on an IoT platform using various ways and strategies.

Grasp how to deliver fully deployed and scalable, trusted and responsible AI and avoid expensive failed solutions and limited proof-of-concepts with this practical guide covering the lifecyle process of AI product development.

Hone your business skills and supercharge your career with this definitive guide for data professionals working in business on how they can improve their organizational effectiveness and commercial understanding.

Advancements in computational intelligence, which encompasses artificial intelligence, machine learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, and more.

This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management.

This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management.

This book gives a holistic overview of creating appropriate charts by describing a sequence of visualizations. The book presents step by step implementation in Tableau to convey information through innovative stories with interactive dashboards for visual data analysis of a dataset.

This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on smart manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.

This book introduces recent wireless technologies and their impact on trends, applications, and opportunities. It provides insights into new 6G technology and practices and explores the latest 6G, IoT, and Blockchain techniques with AI and evolutionary applications, to show how digital integration can serve society.

Data Scientists are experts at analyzing, modelling and visualizing data but, at one point or another, have all encountered difficulties in collaborating with or delivering their work to the people and systems that matter.

The book provides a detailed overview of the intersection of data, AI, and machine learning in agriculture. Offering real-world examples and case studies, it demonstrates how AI can help improve efficiency, reduce waste, and increase profitability.

Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era.

Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.

Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography.

This book offers an in-depth look at Industry 4.0's applications and provides a conceptual framework for design principles and easy implementation. The book touches on the impact of Industry 4.0 and examines key technological advances and potential economic and technical benefits through case studies featuring real-world implementations.

Drawing examples from real-world networks, this essential book traces the methods behind network analysis and explains how network data is first gathered, then processed and interpreted. The text will equip you with a toolbox of diverse methods and data modelling approaches, allowing you to quickly start making your own calculations on a huge variety of networked systems. This book sets you up to succeed, addressing the questions of what you need to know and what to do with it, when beginning to work with network data. The hands-on approach adopted throughout means that beginners quickly become capable practitioners, guided by a wealth of interesting examples that demonstrate key concepts. Exercises using real-world data extend and deepen your understanding, and develop effective working patterns in network calculations and analysis. Suitable for both graduate students and researchers across a range of disciplines, this novel text provides a fast-track to network data expertise.

Papers address a major challenge in archaeology: non-intrusive research in pursuit of a deeper understanding of urban areas can be richly informative and cost-effective. Geophysical surveys, UAVs, exposed historic structures and the exhaustive examination of archival records can all play a vital role and their implementation is considered here.

This book explores the need for a data-centric AI approach and its application in the multidisciplinary domain, compared to a model-centric approach.