Due to the ubiquity of social media and digital information, the use of digital images in today's digitized marketplace is continuously rising throughout enterprises. Organizations that want to offer their content through the internet confront plenty of security concerns, including copyright violation. Advanced solutions for the security and privacy of digital data are continually being developed, yet there is a lack of current research in this area. The Handbook of Research on Multimedia Forensics and Content Integrity features a collection of innovative research on the approaches and applications of current techniques for the privacy and security of multimedia and their secure transportation. It provides relevant theoretical frameworks and the latest empirical research findings in the area of multimedia forensics and content integrity. Covering topics such as 3D data security, copyright protection, and watermarking, this major reference work is a comprehensive resource for security analysts, programmers, technology developers, IT professionals, students and educators of higher education, librarians, researchers, and academicians.

Would you like to fully understand the NFT world, and be able to consciously invest in it to generate huge profits?

If the answer to that question is "YES", then keep reading, because this is the book that you were looking for.

Non Fungible Tokens, a.k.a. NFTs, are the ultimate collectible, which is immune to damage or deterioration, and impossible to copy or pirate.

During the last period, they became increasingly popular and valuable, and people's interest in this subject is soaring.

The internet is filled with many guides that claim to help you know more about this world, but the reality is that it is difficult to find really effective material that teaches how to practically start investing in this profitable market.

This is why many people often feel overwhelmed by this topic and tend to give up before they even fully understand what NFTs are.

This was one of the reasons that led me to the creation of this book, which is a complete manual that will accompany and support you on this complete NFT journey.

With this book, you won't need any technical background to access and understand this amazing reality, and if you are a beginner, you will find all the information you need to start investing in the NFT market in the best way possible, and you'll learn all the best tips, practical examples, and strategies that will actually make you profit from this constantly evolving activity.

By reading this easy-to-understand manual you'll discover:

• A Fully Comprehensive Introduction To NFTs, so that you can discover what NFTs are, why they are the future of the currency, which types are available, and which ones are the most profitable, so that you can know all the basics before diving right into the investing part
• A Step-By-Step Way To Create an NFT, thanks to a dedicated chapter that will teach how to create an NFT in 6 simple steps and will teach you how to give life to it, how to create perfect collections, and the best ways to sell and buy them
• The Secret Qualities Of a High-Value NFT, so that you'll be able to recognize profitable NFTs that might generate you a high amount of money when you sell them
• 9 Real-Life Case-Success Analyzed, so you can fully understand the real potential of NFTs, and never lose interest and motivation

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements. Digital Twin Technologies for Healthcare 4.0 discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues. With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT & big data analytics for novel applications.

With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data. Supported by query languages, databases, algorithms, platforms, analytics methods and machine and deep learning (ML and DL) algorithms, graphs are now emerging as a new data structure for optimally representing a variety of data and their intimate relationships. Compared to traditional analytics methods, the connectedness of data points in graph analytics facilitates the identification of clusters of related data points based on levels of influence, association, interaction frequency and probability. Graph analytics is being empowered through a host of path-breaking analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book aims to explain the various aspects and importance of graph data science. The authors from both academia and industry cover algorithms, analytics methods, platforms and databases that are intrinsically capable of creating business value by intelligently leveraging connected data. This book will be a valuable reference for ICTs industry and academic researchers, scientists and engineers, and lecturers and advanced students in the fields of data analytics, data science, cloud/fog/edge architecture, internet of things, artificial intelligence/machine and deep learning, and related fields of applications. It will also be of interest to analytics professionals in industry and IT operations teams.

A delightful, engaging, and comprehensive overview of interaction design Effective and engaging design is a critical component of any digital product, from virtual reality software to chatbots, smartphone apps, and more. In the newly updated sixth edition of Interaction Design: Beyond Human-Computer Interaction, a team of accomplished technology, design, and computing professors delivers an intuitive and instructive discussion of the principles underlying the design of effective interactive technologies. The authors discuss how to design and apply digital technologies in the real world, illustrated with numerous examples. The book explores the interdisciplinary foundations of interaction design, including skills from product design, computer science, human and social psychology, and others. The book builds on the highly successful fifth edition and draws on extensive new research and interviews with accomplished professionals and researchers in the field that reflect a rapidly-changing landscape. It is supported by a website hosting digital resources that add to and complement the material contained within. Readers will also find: Explorations of the social and emotional components of interacting with apps, digital devices and computers Descriptions about how to design, prototype, evaluate and construct technologies that support human-computer interaction Discussions of the cognitive aspects of interaction design, as well as design and evaluation, including usability testing and expert reviews. An essential text for undergraduate and graduate students of human-computer interaction, interaction design, software engineering, web design, and information studies, Interaction Design will also prove to be indispensable for interaction design and user experience professionals.

The concept of autonomic computing seeks to reduce the complexity of pervasively ubiquitous system management and maintenance by shifting the responsibility for low-level tasks from humans to the system while allowing humans to concentrate on high-level tasks. This is achieved by building self-managing systems that are generally capable of self-configuring, self-healing, self-optimising, and self-protecting. Trustworthy autonomic computing technologies are being applied in datacentre and cloud management, smart cities and autonomous systems including driverless cars. However, there are still significant challenges to achieving trustworthiness. This book covers challenges and solutions in autonomic computing trustworthiness from methods and techniques to achieve consistent and reliable system self-management. Researchers, developers and users need to be confident that an autonomic self-managing system will remain correct in the face of any possible contexts and environmental inputs. The book is aimed at researchers in autonomic computing, autonomics and trustworthy autonomics. This will be a go-to book for foundational knowledge, proof of concepts and novel trustworthy autonomic techniques and approaches. It will be useful to lecturers and students of autonomic computing, autonomics and multi-agent systems who need an easy-to-use text with sample codes, exercises, use-case demonstrations. This is also an ideal tutorial guide for independent study with simple and well documented diagrams to explain techniques and processes.

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI. Meta-Learning: Theory, Algorithms and Applications explains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm. The book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources. Meta-Learning: Theory, Algorithms and Applications is a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.

This insightful book provides a timely review of the potential threats of advertising technologies, or adtech. It highlights the need to protect internet users not only from privacy risks, but also as consumers and citizens online dealing with a highly complex technological setting. Jiahong Chen illustrates a concise overview of the technical, economic and legal aspects of adtech together with coverage of other important areas. These include: the ongoing debates around online advertising and data protection, an up-to-date analysis of the application of the GDPR, and insights into both the practices and theories of the regulation of data protection law. The book provides a clear picture of what is truly at stake with online advertising practices, concluding with a critical assessment of the current regime and a proposed approach to reform data protection laws. This book will provide essential reading for researchers and law students requiring an overview of the legal framework and current practices, alongside legal practitioners and policymakers evaluating the benefits and risks of data-driven technologies.

Recent years have seen a proliferation of cybersecurity guidance in the form of government regulations and standards with which organizations must comply. As society becomes more heavily dependent on cyberspace, increasing levels of security measures will need to be established and maintained to protect the confidentiality, integrity, and availability of information; the privacy of consumers; and the continuity of economic activity. Compliance is a measure of the extent to which a current state is in conformance with a desired state. The desired state is commonly operationalized through specific business objectives, professional standards, and regulations. Assurance services provide a means of evaluating the level of compliance with various cybersecurity requirements. The proposed book will summarize current cybersecurity guidance and provide a compendium of innovative and state-of-the-art compliance and assurance practices and tools that can function both as a reference and pedagogical source for practitioners and educators. This publication will provide a synopsis of current cybersecurity guidance that organizations should consider in establishing and updating their cybersecurity systems. Assurance services will also be addressed so that management and their auditors can regularly evaluate their extent of compliance. This book should be published because its theme will provide company management, practitioners, and academics with a good summary of current guidance and how to conduct assurance of appropriate compliance.

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research.

Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an introduction of univariate and multivariate statistical analysis, the book then explores multivariate calibration and validation methods. Soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry are then discussed, providing useful examples of the techniques in chemistry applications. Drawing on the knowledge of a global team of researchers, this book will be a helpful guide for chemists interested in developing their skills in multivariate data and error analysis.

Present the computer concepts and Microsoft (R) Office 2016 skills perfect for your Introduction to Computing course with ILLUSTRATED COMPUTER CONCEPTS AND MICROSOFT (R) OFFICE 365 & OFFICE 2016. This all-in-one book makes the computer concepts and skills your students need to know easily accessible. The user-friendly two-page spread found throughout this and other popular Illustrated Microsoft (R) Office 2016 books clearly demonstrates key application skills. Today's most up-to-date technology developments and concepts are clarified using the distinctive step-by-step approach and the latest content from COMPUTER CONCEPTS ILLUSTRATED BRIEF. This edition highlights new Office features with a new module covering Productivity Apps. You'll find a wealth of instructional support and resources, including MindTap customized learning paths to reinforce the important skills and theories found in ILLUSTRATED COMPUTER CONCEPTS AND MICROSOFT (R) OFFICE 365 & OFFICE 2016.

Blockchain has potential to revolutionize how manufacturers design, engineer, make and scale their products. Blockchain is gradually proving to be an effective "middleware" solution for enabling seamless interoperability within complex supply chains. Due to its technological nature, blockchain enables secure, transparent and fast data exchanges as well as allowing for the creation of immutable records databases The main advantage of Blockchain in Manufacturing Industries is product traceability, supply chain transparency, compliance monitoring, and auditability. Moreover, leveraging blockchain technology into a manufacturing enterprise can enhance its security and reduce the rates of systematic failures. So, blockchain is now used in various sectors of the manufacturing industry, such as automotive, aerospace, defense, pharmaceutical, consumer electronics, textile, food and beverages, and more. Hence, Blockchain should be seen as an investment in future-readiness and customer-centricity, not as an experimental technology - because, the evidence is overwhelming. This book will explore the strengths of Blockchain adaptation in Manufacturing Industries and Logistics Management, cover different use cases of Blockchain Technology for Manufacturing Industries and Logistics Management, and will discuss the role, impact and challenges of adopting Blockchain in Manufacturing industries and Logistics Management. The chapters will also provide the current open issues and future research trends of Blockchain, especially for Manufacturing Industries and Logistics, and will encapsulate quantitative and qualitative research for a wide spectrum of readers of the book.

Digital Manufacturing: The Industrialization of "Art to Part" 3D Additive Printing explains everything needed to understand how recent advances in materials science, manufacturing engineering and digital design have integrated to create exciting new capabilities. Sections discuss relevant fundamentals in mechanical engineering and materials science and complex and practical topics in additive manufacturing, such as part manufacturing, all in the context of the modern digital design environment. Being successful in today's "art to part" cyber-physical manufacturing age requires a strong grounding in science and engineering fundamentals as well as knowledge of the latest techniques, all of which readers will find here. Every chapter is developed by leading specialists and based on first-hand experiences, capturing the essential knowledge readers need to solve problems related to digital manufacturing.