Data og IT

The book provides the key technologies involved in an organization's digital transformation. It offers a deep understanding of the key technologies (Blockchain, AI, Big Data, IoT, etc.) involved and details the impact, the decision-making process, and the interplay between technologies, business models, and operations.

The book incorporates the many facets of computational intelligence, such as machine learning and deep learning, to provide groundbreaking developments in healthcare applications. It discusses theory, analytical methods, numerical simulation, scientific techniques, analytical outcomes, and computational structuring.

This book explores comics as examples of moral outrage against a reality in which precariousness has become an inherent part of young lives. It will appeal to comics scholars and researchers in the areas of media and cultural studies, modern languages, education, art and design, communication studies, sociology and medical humanities.

This book is an attempt to explore new ideas and novel techniques in area of Medical Internet of Things apart from basic concepts. It intends to offer novel advances and applications of MIOT in a precise and clear manner to the research community to achieve in depth knowledge in the field.

This book brings together latest applications and state-of-the-art developments in healthcare sector using blockchain technology. It explains how blockchain can enhance security, privacy, interoperability &data accessibility including AI, blockchains for medical imaging to supply chain management, and centralized management alongside the DLT.

This book presents futuristic trends in computational intelligence including algorithms used in different application domains in health informatics covering bio-medical, bioinformatics, &biological sciences. It provides conceptual framework with a focus on computational intelligence techniques in biomedical engineering &health informatics.

This book provides a clear explanation of the application of artificial intelligence to solve the challenges in solar photovoltaic technology. It introduces the readers about new AI-based approaches and technologies helpful in managing and operating solar photovoltaic systems effectively.

This book offers a wide range of computing and simulation techniques used in interdisciplinary areas of applied engineering in a single volume. It will serve as a reference text for graduate students and academic researchers in diverse engineering fields including electrical, industrial, manufacturing, mechanical, computer, and mathematics.

This book has comprehensive coverage of the principles, basic concepts, structure, modelling, practices, and circuit applications of nanoelectronics in hardware/software security. It will also cover the future research directions in this domain.

This text introduces multifunctional and multi-disciplinary technological aspects, principle, and industry automation in a single volume. It will serve as a useful text for graduate students, academic researchers and professionals in the fields of electrical engineering, electronics engineering, materials science, and mechanical engineering

This book contains eleven chapters dealing with different Cybersecurity Issues in Emerging Technologies. . Both theoretical analysis and experimental evaluation of state-of-the-art techniques are presented and discussed.

Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing Computational Intelligence, IoT, Blockchain, Cloud, and Big Data Analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used for healthcare systems, products, and services.

Written as a guide for assessing the roles that these technqiues play, the book highlights implementation strategies, problem solving solutions, and paves the way for future research endeavors in smart and next generation healthcare systems.

This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis.

Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.

This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.

Can the likes we give on Instagram and Facebook predict a purchase or foresee who will win the election? Yes, they can! Large digital platforms can target ads to hyper-segmented to influence audiences. It is the moment to think deeply about these technologies. As citizens, we must reflect on our digital future.

This book presents practical guidelines for university research and administration. It uses a project management framework within a systems perspective to provide strategies for planning, scheduling, allocating resources, tracking, reporting, and control of university-based research projects and programs.

Multi-Criteria Decision-Making includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management.

Assistive Technology Intervention in Healthcare focuses on various applications of intelligent techniques in biomedical engineering and health informatics.