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Media Narratives and the COVID-19 Pandemic: The Asian Experience
This volume investigates mediated lives and media narratives during the Covid-19 pandemic, with Asia as a focus point. It shows how the pandemic has created an unprecedented situation in this globalized world marked by many disruptions in the social, economic, political, and cultural lives of individuals and communities— creating a ‘new normal’. It explores the different media vocabularies of fear, panic, social distancing, and contagion from across Asian nations. It focuses on the role media played as most nations faced lockdowns and unique challenges during the crisis. From healthcare workers to sex workers, from racism to nationalism, from the plight of migrant workers in news reporting to state propaganda, this book brings critical questions confronting media professionals into focus.The volume is of critical interest to scholars and researchers of media and communication studies, politics, especially political communication, social and public policy, and Asian studies.
Media Narratives and the COVID-19 Pandemic: The Asian Experience
by Shubhda Arora Keval J. KumarThis volume investigates mediated lives and media narratives during the Covid-19 pandemic, with Asia as a focus point. It shows how the pandemic has created an unprecedented situation in this globalized world marked by many disruptions in the social, economic, political, and cultural lives of individuals and communities— creating a ‘new normal’. It explores the different media vocabularies of fear, panic, social distancing, and contagion from across Asian nations. It focuses on the role media played as most nations faced lockdowns and unique challenges during the crisis. From healthcare workers to sex workers, from racism to nationalism, from the plight of migrant workers in news reporting to state propaganda, this book brings critical questions confronting media professionals into focus.The volume is of critical interest to scholars and researchers of media and communication studies, politics, especially political communication, social and public policy, and Asian studies.
A Medical Educator's Guide to Thinking Critically about Randomised Controlled Trials: Deconstructing the "Gold Standard"
by Margaret MacDougallDrawing on the statistical and philosophical expertise of its authors, this book is designed to improve understanding and use of randomised controlled trials (RCTs) among health professionals. It is intended for use primarily by medical educators involved in teaching statistics and evidence-based medicine (EBM) to medical students, junior doctors and other health professionals. However, each of the chapters serves a wider range of interests, including the practical needs of physicians in interpreting research evidence to support clinical decision making and the teaching needs of philosophers of medicine who want to more fully appreciate how RCTs work in practice and provide engaging examples for their students. Rather than compete with the proliferating methodological literature on RCT designs, this book focuses on cultivating a healthy skepticism among developing health professionals to support critical appraisal of their own and published work on RCTs at a fundamental level, including through a more informed understanding of the place of subgroup analyses in sound statistical inference. Management of the positive predictive value in the statistical analysis of RCT findings is included as an important topic for contemporary medical curricula. In comparing RCTs with non-randomised studies, a search for empirical evidence for the superiority of RCTs is initiated, pointing to the need for further work to confirm what form this evidence should take.Medical educators will find a wealth of reasons to encourage their students to think more critically about how the RCT operates in practice as a gold standard.
Medical Image Understanding and Analysis: 27th Annual Conference, MIUA 2023, Aberdeen, UK, July 19–21, 2023, Proceedings (Lecture Notes in Computer Science #14122)
by Gordon Waiter Tryphon Lambrou Georgios Leontidis Nir Oren Teresa Morris Sharon GordonThis book constitutes the proceedings of the 27th Annual Conference on Medical Image Understanding and Analysis, MIUA 2023, which took place in Aberdeen, UK, during July 19–21, 2023.The 24 full papers presented in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: Image interpretation; radiomics, predictive models and quantitative imaging; image classification; and biomarker detection.
Meine digitale Sicherheit für Dummies (Für Dummies)
by Matteo Grosse-Kampmann Chris WojzechowskiDigital einfach besser geschützt! Wie Sie Ihre Daten zuhause und im Internet vor Betrügern schützen, vermittelt Ihnen dieses Buch. Sichere Passwörter, Browser, Online-Banking, Schutz Ihres Heimnetzwerks und Ihrer Endgeräte, Backups wichtiger Daten oder deren Wiederherstellung: Leicht verständlich und systematisch lernen Sie, sich digital zu schützen. Sie erfahren, welche menschlichen Eigenschaften Angreifer ausnutzen, um beim Phishing oder anderen Angriffen erfolgreich zu sein. Mit konkreten Schutzmaßnahmen für alle gängigen Betrugsmaschen und technischen Schutzvorkehrungen sind Sie ab sofort gewappnet. Sie erfahren Alles über zentrale Grundlagen der digitalen Sicherheit Welche Betrugsmaschen es gibt und wie Sie sich schützen Wie Sie Ihre Daten, Ihr Netzwerk und Ihre Endgeräte absichern Wie Sie sich zum Beispiel bei Bankgeschäften online wirklich sicher bewegen
Memetic War: Online Resistance in Ukraine (Routledge Studies in Crime and Society)
by Tine MunkMemetic War analyses memetic warfare included in cyber war and aims to develop a framework for understanding the parameters included in utilising this concept in Ukraine as a part of civic resistance.In the Ukrainian war, an informal defence tactic has developed to uphold the information flow about the war and to debunk Russia’s communications. The war has enhanced the visibility of governmental and civic activation by using the advantages of social media architecture, networks, and communication forms. The book investigates Ukraine’s public and private abilities to develop cyber capabilities to counter propaganda and dis-and-misinformation online as a defence mechanism. This book uses military ROC doctrine to understand government authorities, the armed forces, and civic engagement in the Ukrainian resistance.Memetic War will have relevance for scholars, researchers, and academics in the cybersecurity field, practitioners, governmental actors, and military and strategic personnel.
Memetic War: Online Resistance in Ukraine (Routledge Studies in Crime and Society)
by Tine MunkMemetic War analyses memetic warfare included in cyber war and aims to develop a framework for understanding the parameters included in utilising this concept in Ukraine as a part of civic resistance.In the Ukrainian war, an informal defence tactic has developed to uphold the information flow about the war and to debunk Russia’s communications. The war has enhanced the visibility of governmental and civic activation by using the advantages of social media architecture, networks, and communication forms. The book investigates Ukraine’s public and private abilities to develop cyber capabilities to counter propaganda and dis-and-misinformation online as a defence mechanism. This book uses military ROC doctrine to understand government authorities, the armed forces, and civic engagement in the Ukrainian resistance.Memetic War will have relevance for scholars, researchers, and academics in the cybersecurity field, practitioners, governmental actors, and military and strategic personnel.
The Mental Health of Gifted Intelligent Machines: AI and the Mirror of Human Psychology
by John Senior Éva GyarmathyThe Mental Health of Gifted Intelligent Machines explores the increasingly sophisticated behaviours of developing AI and how we can ensure it will have emotional resilience, ethical strength and an ability to think in a new and enhanced way. Its primary aim is to change how we understand the world by investigating humanity as an intelligent being, examining and contrasting human and artificial intelligence. The book considers what we can learn from the likely mental health issues that will occur with increasingly sophisticated aspects of machine intelligence and how they will reflect the human condition. It asks questions about our identity in a deeply uncertain and disruptive ever-changing world; how we will improve and enhance our psychological intelligence to meet the increasing complications and demands of the future; and what we need to do, now, to be psychologically intelligent enough to live a full meaningful life in a new world evolving around us. The book argues that changes in our understanding of mental health, psychology and our view of intelligence will challenge huge aspects of our fundamental beliefs and assumptions and that it is essential we explore new arenas to further understand both our own human psychological issues and mental health as we develop gifted intelligent machines. It is a must read for all students, researchers and professionals involved with AI, gifted education, consciousness and mental health.
The Mental Health of Gifted Intelligent Machines: AI and the Mirror of Human Psychology
by John Senior Éva GyarmathyThe Mental Health of Gifted Intelligent Machines explores the increasingly sophisticated behaviours of developing AI and how we can ensure it will have emotional resilience, ethical strength and an ability to think in a new and enhanced way. Its primary aim is to change how we understand the world by investigating humanity as an intelligent being, examining and contrasting human and artificial intelligence. The book considers what we can learn from the likely mental health issues that will occur with increasingly sophisticated aspects of machine intelligence and how they will reflect the human condition. It asks questions about our identity in a deeply uncertain and disruptive ever-changing world; how we will improve and enhance our psychological intelligence to meet the increasing complications and demands of the future; and what we need to do, now, to be psychologically intelligent enough to live a full meaningful life in a new world evolving around us. The book argues that changes in our understanding of mental health, psychology and our view of intelligence will challenge huge aspects of our fundamental beliefs and assumptions and that it is essential we explore new arenas to further understand both our own human psychological issues and mental health as we develop gifted intelligent machines. It is a must read for all students, researchers and professionals involved with AI, gifted education, consciousness and mental health.
Meta-Heuristic Algorithms for Advanced Distributed Systems
by Nidhi Sindhwani Rohit Anand Abhinav Juneja Digvijay Pandey Sapna JunejaMETA-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Meta-Heuristic Algorithms for Advanced Distributed Systems
by Rohit Anand Abhinav Juneja Digvijay Pandey Sapna Juneja Nidhi SindhwaniMETA-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.
Metagames: Games about Games (ISSN)
by Agata WaszkiewiczMetagames: Games about Games scrutinizes how various meta devices, such as breaking the fourth wall and unreliable narrator, change and adapt when translated into the uniquely interactive medium of digital games.Through its theoretical analyses and case studies, the book shows how metafictional experimentation can be used to both challenge and push the boundaries of what a game is and what a player’s role is in play, and to raise more profound topics such as those describing experiences of people of oppressed identities. The book is divided into six chapters that deal with the following meta devices: breaking the fourth wall, hypermediation, unreliable narrator, abusive game design, fragmentation, and parody.The book will predominantly interest scholars and students of media studies and game studies as it continues discourses held in the discipline regarding the metareferential character of digital games.
Metagames: Games about Games (ISSN)
by Agata WaszkiewiczMetagames: Games about Games scrutinizes how various meta devices, such as breaking the fourth wall and unreliable narrator, change and adapt when translated into the uniquely interactive medium of digital games.Through its theoretical analyses and case studies, the book shows how metafictional experimentation can be used to both challenge and push the boundaries of what a game is and what a player’s role is in play, and to raise more profound topics such as those describing experiences of people of oppressed identities. The book is divided into six chapters that deal with the following meta devices: breaking the fourth wall, hypermediation, unreliable narrator, abusive game design, fragmentation, and parody.The book will predominantly interest scholars and students of media studies and game studies as it continues discourses held in the discipline regarding the metareferential character of digital games.
Metaheuristic Algorithms: Theory and Practice
by Gai-Ge Wang Xiaoqi Zhao Keqin LiThis book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans.In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.
Metaheuristic Algorithms: Theory and Practice
by Gai-Ge Wang Xiaoqi Zhao Keqin LiThis book introduces the theory and applications of metaheuristic algorithms. It also provides methods for solving practical problems in such fields as software engineering, image recognition, video networks, and in the oceans.In the theoretical section, the book introduces the information feedback model, learning-based intelligent optimization, dynamic multi-objective optimization, and multi-model optimization. In the applications section, the book presents applications of optimization algorithms to neural architecture search, fuzz testing, oceans, and image processing. The neural architecture search chapter introduces the latest NAS method. The fuzz testing chapter uses multi-objective optimization and ant colony optimization to solve the seed selection and energy allocation problems in fuzz testing. In the ocean chapter, deep learning methods such as CNN, transformer, and attention-based methods are used to describe ENSO prediction and image processing for marine fish identification, and to provide an overview of traditional classification methods and deep learning methods.Rich in examples, this book will be a great resource for students, scholars, and those interested in metaheuristic algorithms, as well as professional practitioners and researchers working on related topics.
Metaheuristics for Machine Learning: Algorithms and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)
by Kanak Kalita Narayanan Ganesh S. BalamuruganMETAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.
Metaheuristics for Machine Learning: Algorithms and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)
by Kanak Kalita Narayanan Ganesh S. BalamuruganMETAHEURISTICS for MACHINE LEARNING The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena like evolution, swarm behavior, and neural systems, have shown remarkable efficiency in solving complex optimization problems. With advancements in machine learning and artificial intelligence, the application of metaheuristic optimization techniques has expanded, demonstrating significant potential in optimizing machine learning models, hyperparameter tuning, and feature selection, among other use-cases. In the industrial landscape, these techniques are becoming indispensable for solving real-world problems in sectors ranging from healthcare to cybersecurity and sustainability. Businesses are incorporating metaheuristic optimization into machine learning workflows to improve decision-making, automate processes, and enhance system performance. As the boundaries of what is computationally possible continue to expand, the integration of metaheuristic optimization and machine learning represents a pioneering frontier in computational intelligence, making this book a timely resource for anyone involved in this interdisciplinary field. Metaheuristics for Machine Learning: Algorithms and Applications serves as a comprehensive guide to the intersection of nature-inspired optimization and machine learning. Authored by leading experts, this book seamlessly integrates insights from computer science, biology, and mathematics to offer a panoramic view of the latest advancements in metaheuristic algorithms. You’ll find detailed yet accessible discussions of algorithmic theory alongside real-world case studies that demonstrate their practical applications in machine learning optimization. Perfect for researchers, practitioners, and students, this book provides cutting-edge content with a focus on applicability and interdisciplinary knowledge. Whether you aim to optimize complex systems, delve into neural networks, or enhance predictive modeling, this book arms you with the tools and understanding you need to tackle challenges efficiently. Equip yourself with this essential resource and navigate the ever-evolving landscape of machine learning and optimization with confidence. Audience The book is aimed at a broad audience encompassing researchers, practitioners, and students in the fields of computer science, data science, engineering, and mathematics. The detailed but accessible content makes it a must-have for both academia and industry professionals interested in the optimization aspects of machine learning algorithms.
Metaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus (Routledge Applied Corpus Linguistics)
by Rafael Alejo-GonzálezMetaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus offers a model for building a corpus of oral EMI seminars. It demonstrates how incorporating metaphor to the process of corpus building affords a more comprehensive description of the role of metaphor in discourse. EMI is the specific context outlined in this volume, and as such it will be of particular interest to researchers in this area, though the design and model can be easily generalised and applied to other corpora focusing on metaphor. Alejo-González argues for the need to build such a corpus given the scarcity of corpora being tagged for metaphor as well as the shortage of those dealing with the EMI phenomenon. This book will be of practical use and interest to those researchers of corpus linguistics or related areas looking to explore metaphor through their corpus studies.
Metaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus (Routledge Applied Corpus Linguistics)
by Rafael Alejo-GonzálezMetaphor and Corpus Linguistics: Building and Investigating an English as a Medium of Instruction Corpus offers a model for building a corpus of oral EMI seminars. It demonstrates how incorporating metaphor to the process of corpus building affords a more comprehensive description of the role of metaphor in discourse. EMI is the specific context outlined in this volume, and as such it will be of particular interest to researchers in this area, though the design and model can be easily generalised and applied to other corpora focusing on metaphor. Alejo-González argues for the need to build such a corpus given the scarcity of corpora being tagged for metaphor as well as the shortage of those dealing with the EMI phenomenon. This book will be of practical use and interest to those researchers of corpus linguistics or related areas looking to explore metaphor through their corpus studies.
Metasurfaces for Wireless Communications: Designs and Implementations
by Yifei Yuan Yuhong Huang Fa-Long LuoThis book provides a comprehensive coverage of reconfigurable intelligent surface (RIS) based wireless communications by covering all the technology stages from working principles, theories and algorithms, system architectures, real-world implementations, and programming platforms through performance measurements and system testing. Metasurfaces for Wireless Communications: Designs and Implementations serves as a must-be read for everything related to the use of RIS in wireless networks. Authored by three experts in the field, the book is organized into five in-depth and well-designed chapters. The first chapter discusses the fundamentals of metasurfaces for wireless communications as well as the related evolution and requirements of RIS in 6G. The second chapter is devoted to the modeling and analyses of RIS for wireless communications by including electromagnetic field modeling and theoretical analyses of both large- and small-scale channel models. In Chapter 3, the authors mainly address properties’ characterizations and system design of metasurface devices. Chapter 4 examines relay and system implementations of RIS for wireless communications through basic system models, key design aspects, and system simulations and architectures. Chapter 5 discusses the standardization of RIS-aided wireless communications by providing an overview of the relay technologies, field trials, and roadmaps in 3GPP standardizations.This book serves not only as a comprehensive reference for professional engineers, researchers, manufacturers, network operators, software developers, service providers, and regulatory bodies aiming at the development, standardization, deployment, and applications of B5G and 6G mobile communications, but also as a textbook for graduate students in circuits, signal processing, wireless communications, information theory, microwave technology, and antenna and propagation.
Metasurfaces for Wireless Communications: Designs and Implementations
by Yifei Yuan Yuhong Huang Fa-Long LuoThis book provides a comprehensive coverage of reconfigurable intelligent surface (RIS) based wireless communications by covering all the technology stages from working principles, theories and algorithms, system architectures, real-world implementations, and programming platforms through performance measurements and system testing. Metasurfaces for Wireless Communications: Designs and Implementations serves as a must-be read for everything related to the use of RIS in wireless networks. Authored by three experts in the field, the book is organized into five in-depth and well-designed chapters. The first chapter discusses the fundamentals of metasurfaces for wireless communications as well as the related evolution and requirements of RIS in 6G. The second chapter is devoted to the modeling and analyses of RIS for wireless communications by including electromagnetic field modeling and theoretical analyses of both large- and small-scale channel models. In Chapter 3, the authors mainly address properties’ characterizations and system design of metasurface devices. Chapter 4 examines relay and system implementations of RIS for wireless communications through basic system models, key design aspects, and system simulations and architectures. Chapter 5 discusses the standardization of RIS-aided wireless communications by providing an overview of the relay technologies, field trials, and roadmaps in 3GPP standardizations.This book serves not only as a comprehensive reference for professional engineers, researchers, manufacturers, network operators, software developers, service providers, and regulatory bodies aiming at the development, standardization, deployment, and applications of B5G and 6G mobile communications, but also as a textbook for graduate students in circuits, signal processing, wireless communications, information theory, microwave technology, and antenna and propagation.
Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches
by Dinh Thai Hoang Diep N. Nguyen Cong T. Nguyen Ekram Hossain Dusit NiyatoMetaverse Communication and Computing Networks Understand the future of the Internet with this wide-ranging analysis “Metaverse” is the term for applications that allow users to assume digital avatars to interact with other humans and software functions in a three-dimensional virtual space. These applications and the spaces they create constitute an exciting and challenging new frontier in digital communication. Surmounting the technological and conceptual barriers to creating the Metaverse will require researchers and engineers familiar with its underlying theories and a wide range of technologies and techniques. Metaverse Communication and Computing Networks provides a comprehensive treatment of Metaverse theory and the technologies that can be brought to bear on this new pursuit. It begins by describing the Metaverse’s underlying architecture and infrastructure, physical and digital, before addressing how existing technologies are being adapted to its use. It concludes with an overview of the challenges facing the Metaverse. The result is a thorough introduction to a subject that may define the future of the internet. Metaverse Communication and Computing Networks readers will also find: Detailed treatment of technologies, including artificial intelligence, Virtual Reality, Extended Reality, and more Analysis of issues including data security, ethics, privacy, and social impact A real-world prototype for Metaverse applications Metaverse Communication and Computing Networks is a must-own for researchers and engineers looking to understand this growing area of technology, and entrepreneurs interested in establishing Metaverse businesses.
Metaverse Communication and Computing Networks: Applications, Technologies, and Approaches
by Dinh Thai Hoang Diep N. Nguyen Cong T. Nguyen Ekram Hossain Dusit NiyatoMetaverse Communication and Computing Networks Understand the future of the Internet with this wide-ranging analysis “Metaverse” is the term for applications that allow users to assume digital avatars to interact with other humans and software functions in a three-dimensional virtual space. These applications and the spaces they create constitute an exciting and challenging new frontier in digital communication. Surmounting the technological and conceptual barriers to creating the Metaverse will require researchers and engineers familiar with its underlying theories and a wide range of technologies and techniques. Metaverse Communication and Computing Networks provides a comprehensive treatment of Metaverse theory and the technologies that can be brought to bear on this new pursuit. It begins by describing the Metaverse’s underlying architecture and infrastructure, physical and digital, before addressing how existing technologies are being adapted to its use. It concludes with an overview of the challenges facing the Metaverse. The result is a thorough introduction to a subject that may define the future of the internet. Metaverse Communication and Computing Networks readers will also find: Detailed treatment of technologies, including artificial intelligence, Virtual Reality, Extended Reality, and more Analysis of issues including data security, ethics, privacy, and social impact A real-world prototype for Metaverse applications Metaverse Communication and Computing Networks is a must-own for researchers and engineers looking to understand this growing area of technology, and entrepreneurs interested in establishing Metaverse businesses.
Metaverse for Industry 5.0 (SpringerBriefs in Applied Sciences and Technology)
by Nilanjan Dey Soumi MajumderThis book provides a detailed picture of the metaverse for industry 5.0. In the context of Industry 5.0, the concept of the metaverse aligns with the vision of Web 4.0, representing a digital ecosystem where individuals and organizations collaborate in a human-centric approach to create personalized value.This virtual universe connects multiple interconnected worlds, enabling real-time interactions between users and computer-generated environments. By integrating technologies such as artificial intelligence (AI), virtual reality (VR), augmented reality (AR), mixed reality(MR) and the Internet of Things (IoT), the metaverse within Industry 5.0 aims to foster innovation and enhance productivity, efficiency, and overall well-being through tailored and value-driven solutions. This book explores the concept of the metaverse in the context of Industry 5.0, highlighting its definition, evolution, advantages, and disadvantages. It also discusses pillars of technological advancement, challenges, and opportunities, ethical issues including its integration into various sectors, i.e., healthcare, construction, manufacturing and others. The entry concludes with a proposal for a conceptual framework for integrating the human-centric metaverse.
The Metaweb: The Next Level of the Internet
by Bridgit DAOBuckle up for a fascinating journey through layers of insight and metaphors that explain the past, present, and future of the Web. Readers from all walks of life will learn something ancient, something novel, and something practical. Those who give it careful consideration will never see the Web the same way again. This book proclaims into existence decentralized public space above the webpage that enables the shift from personal to collective computing. The Web's next frontier is the Metaweb, a hyper-dimensional web over Today's Web that connects people and information silos, with accountability and fair value exchange. The Metaweb can drastically reduce false information, abuse, and scams, as well as enable the unprecedented level of collaboration needed to address humanity's global challenges. The book posits a symbiotic relationship between AI and the Metaweb, where AI assists in generating, organizing, and curating content, while the Metaweb provides the necessary constraints, data, and context for AI to function effectively, transparently, and in alignment with humanity. The AI-assisted collaboration among humans on the Metaweb will enable a vast collective intelligence and the capture of tremendous untapped value. For more information go to: http://metawebbook.com