Data og IT

This practical guide covers the steps necessary to sustain quality in a project from start to finish. The book shows how to identify risks at different process, phases, stages and offers directions on how to mitigate and reduce risks using analysis, evaluation, and monitoring.

The book aims to cover the cloud management and framework. It discusses how cloud computing framework can be integrated with fog computing, edge computing, deep learning and IOT. This book is primarily aimed at graduates and researchers to understand the echo system of cloud technology for agriculture and healthcare.

This book gathers together the latest research works focusing on the issues, challenges and solutions in the field of Cognitive Radio Networks, with various techniques. The chapters in this book will give solutions to the problems facing Industry 4.0 and will be an essential resource for the scholars in all areas of the field.

The text discusses smart networking concepts and technologies to improve the healthcare system in a single volume. It will be a useful reference text for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering

Statistical distributions are important tools to model the characteristics of data sets observed in different applied sciences such as engineering, medicine, and finance, among others. This book will help future and current researchers in the field of G families of probability distributions.

The text discusses the core concepts and principles of deep learning in gaming and animation with applications in a single volume. It will be a useful reference text for graduate students, and professionals in diverse areas such as electrical engineering, electronics and communication engineering, computer science, gaming and animation.

This book provides a better understanding of mutant strains and their pathogenicity by performing genomic sequences of samples. The book will benefit clinicians, educators, scientists, industrialists and policymakers in handling the crisis of the outbreak.

This reference text covers deep learning methods for detection of various diseases and analysis of medical images for better understanding. It will serve as a useful text for graduate students and academic researchers in the fields of electronics engineering, computer science, biomedical engineering, and electrical engineering.

This book comprehensively covers smart technologies and their applications that will help during emergency situations in a single volume. It is an ideal text for graduate students, and academic researchers working in diverse engineering fields of electrical, biomedical, electronics and communication, and computer.

Security systems have become an integral part of the building and large complex setups and intervention of Computational Intelligence (CI) paradigm plays an important role in security system architecture. The book covers both theoretical contributions and practical applications in security system design by applying Internet of Things and CI.

The merger of Internet of Things (IoT) and blockchain technology is a step towards creating a verifiable, secure and permanent method of recording data processed by "smart" machines. This book explores the platforms and applications of blockchain-enabled IoT.

The text provides readers with an overview of cloud computing, beginning with historical perspectives on mainframe computers and early networking protocols, moving to current issues such as security of hardware and networks, performance, evolving IoT areas, edge computing, etc.

Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases.

Covering cyber security and Industry 4.0 concepts from a management and operational level, this book connects the topics of Industry 4.0 and cyber security together seamlessly. It discusses both the risks and solutions of using cyber security techniques for Industry 4.0.

This book focusses fundamentals of the Ionic Polymer Metal Composite (IPMC) concept. Various applications are covered extensively across the chapters including space, underwater and nanoscale application including manufacturing processes. Dedicated chapters are included for Robotics and Biomedical applications and possible research gaps.

This book provides basic and advanced concepts of the SAR, PolSAR, InSAR, PolInSAR, and all the necessary information on various applications and analysis of data of multiple sensors. It includes information on SAR remote sensing, data processing, and separate applications of SAR technology, compiled in one place.

This book addresses a compelling need for documenting what has been learned by the academic and professional healthcare communities in healthcare analytics and disaster preparedness to this point in the COVID-19 pandemic.

This book covers all the aspects of Blockchain and its application in IOT and focuses on Blockchain, its features, and the core technologies that are used to build the Blockchain network. It traces the history of blockchain and applications that are adopted by mainstream financial and industrial domains worldwide.

This book provides integrated features of various disciplines in Computer Science, Mechanical, Electrical, and Electronics Engineering. It is primarily aimed at industry professionals, academicians and researchers for better understanding of the secure data transition between the Industry 4.0 enabled connected systems.

This book focuses on multi-faceted strategies to be adopted by HEIs to deal with the emerging issues related to teaching-learning processes using cloud computing, technological interventions, curriculum overhaul, experiential learning, multi-disciplinary approach and continuous innovations and digitalization.

The proposed book aims to present the emergence of Cyber Physical Systems in response to revolutionary advancements in IoT. The primary audience of this book are undergraduates, graduates and researchers of computer science and IT. Engineers and IT professionals would also find it useful.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures.

This book gives comprehensive insight to the fault detection techniques implemented for photovoltaic panels including predictive maintenance needed to improve the performance of solar PV systems using Artificial Intelligence techniques. It explains fault identification algorithms and their significance in real-time power system applications.

This book provides in-depth knowledge to solve engineering, geometrical, mathematical, and scientific problems with the help of advanced computational methods with focus on mechanical and materials engineering. It covers pertinent topics under sections on design and fluids, thermal engineering and materials engineering.