Data og IT

This book is an invaluable resource for readers to explore the utilization of AI, applications, challenges, and its underlying technologies in different areas. Using a series of present and future apps, this book will support readers to get deeper knowledge and implementing the tools of AI.

This book addresses the reliability, risk, and safety issues of real industrial systems with application of the latest reliability and riskbased modelling. Related topics such as maintenance decision-making, risk and safety modelling are also addressed with the implementation of decision-making techniques.

The main goal of this book is to encourage both researchers and practitioners of Blockchain technology to share and exchange their experiences and recent studies between academia and industry.

As Natural Language Processing (NLP) gets more and more traction in healthcare applications, there is a growing demand for developing solutions that can understand, analyze, and generate languages that humans can understand.

In the last two decades, machine learning has been dramatically developed and is still experiencing a fast and ever-lasting change in paradigm, methodology, applications, and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on the diversity and complexity.

Higher education is dynamic, constantly adapting to meet the requirements of students and industry. This book provides insights from experienced academicians on the digitalization of education and its appropriateness for enhancing the quality of teaching in institutions of higher education.

This book focuses on artificial intelligence and deep learning approaches, with case studies to solve problems associated with biometric security such as authentication, spoofing attack detection, and object detection.

Internet of Things (IoT) is expanding at a rapid rate and it is becoming increasingly important for professionals to understand what it is, how it works, and how to harness its power to improve business. Because of this it's very important to make sure that security is integrated into all IoT systems.

This book focuses on explaining and applying the principles of machine learning-based techniques and advanced image processing methods currently used in the electron microscopy community suitable for handling large electron microscopy data sets and extracting structure-property information for various materials.

This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machine learning).

This book provides a comprehensive study of the security and privacy research advancements in Internet of Things. The book lays the context for discussion by introducing the vulnerable intrinsic features of IoT. The book will give an in-depth insight in to what has happened, what new is happening and what opportunities exist in the field.

Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-art innovations, research, design and implementation of methodological and algorithmic solutions to data processing problems, designing, and analysing evolving trends in health informatics and computer-aided diagnosis.

This handbook provides a computational perspective on Green Computing and Blockchain Technologies. It presents how to not only identify challenges using a practical approach but how to also develop strategies for addressing industry challenges.

Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML).

This book includes the fundamental concepts, applications, algorithms, protocols, new trends, challenges, and research results in the area of Green Information and Communication Systems. It is a resource that offers knowledge on core and specialized issues, making it highly suitable for both the new and the experienced researcher in the field.

This handbook includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain. Chapters will include theoretical analysis, practical implications and extensive surveys with analysis, on methods, algorithms, and processes, for new product development.

The GUHA is a method of mechanizing hypothesis formation. The input of the GUHA procedure consists of analysed data and several parameters defining a large set of relevant patterns. The output is a representation of a set of all relevant patterns satisfying the given true condition.

This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology, enhanced by business activities and strategies for rapid implementation.

The manufacturing system is going through substantial changes and developments in the light of industry 4.0. Newer manufacturing technologies are being developed and applied. There is need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters.