Data og IT

The reference text covers big data concept in cloud based Wireless Ad hoc network and machine learning approaches in a single volume. It will be an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering.

Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural science, addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties.

This book is intended to make the reader aware of the constraints and considerations that apply during a forensic examination in law enforcement and in the private sector. It is aimed primarily at graduates, postgraduates and researchers in digital forensics and cybersecurity.

This book is intended to clarify and define in simple terms the technology behind blockchain, a deep-dive into the core fundamentals of blockchain, hashing algorithm behind each block, distributed technology, smart contracts, private vs public blockchain, implementation aspect of blockchain to its business use, etc.

This book transcends departmental, institutional, industrial, public, and research organizations and goes beyond global barriers to cover the integration of research, education, and manufacturing in advanced materials processing and, characterization including CAD-CAM, Finite Element Analysis (FEA), and Smart Manufacturing.

The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.

This book presents recent advancements in research, new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models. The book undertakes to stimulate scientific exchange, ideas, and experiences in the field of DSS applications.

Recent advances in digitalization is transforming sectors such as healthcare, education, tourism, Information technology, and others. Social media analytics are tools that can be used to measure the innovations and the equation between companies and consumers.

This book provides broader coverage of the basic aspects of advanced circuits and security, and introduce the corresponding principles. By the end of this book, you will be familiarized with the theoretical frameworks, technical methodologies, and empirical research findings in the field.

This book provides the basic concepts of blockchain technology and its applications to varied domains catering to socio-technical fields. It also introduces intelligent blockchain platforms by way of infusing elements of computational intelligence into blockchain technology.

This book provides an overview of the innovative concepts, methodologies and frameworks of fog computing. It discusses topics such as the basics of the fog computing to help readers understand the technology from ground up. It will be a readily accessible source of information for the researchers and professionals.

The book covers three areas along with the introduction to Intelligent IR, i.e. Optimal Information Retrieval using Evolutionary approaches, Semantic Search for Web Information Retrieval and Natural Language Processing for Information Retrieval.

This book addresses issues related to the integration of digital evolutionary technologies and provides solutions to various challenges encountered during the implementation process. With real-time case studies, the book explains the smart technologies available and their operational applications and benefits in the manufacturing sector.

This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer prediction. It is aimed primarily at graduates and researchers working in machine learning and data mining. Researchers and healthcare specialists studying cancer will also find this book useful.

Presents a study of methods of image processing and how they are extended and improved using modern metaheuristic algorithms. The field of image processing is constantly changing due to the extensive integration of cameras in devices.

This book is on capacity building in strategic and non-strategic machine tool technology. It includes machine building in sectors such as machine tools, automobiles, home appliances, energy, and biomedical engineering along with case studies.