This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject, as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics, engineering, and computer science. No previous experience in Python is required Simplified computer code for fast-paced learning and transferable skills development Includes practical problems ideal for project assignments and distance learning Presents both intuitive and rigorous faces of modern scientific computing Provides an introduction to neural networks and machine learning

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications. Features: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics. Explores important applications that require techniques from both artificial intelligence and computer vision. Describes multimodality video analytics for different applications. Examines issues related to multimodality data fusion and highlights research challenges. Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities. This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.

With the advent of advanced hand-held technology and the widespread nature of the Internet, the world of animated filmmaking is more exciting and accessible than ever. Due to this cultural and technological development, the success of independent animated film makers is on the rise. Independent Animation: Developing, Producing and Distributing Your Animated Films, Second Edition showcases some of the greatest, most innovative giants in the field and helps guide readers through the artistic process and production techniques. Story development, casting, color theory, distribution and the intimidating aspects of production are elucidated using various examples of acclaimed, viral and award-winning animated films from all over the world. Readers will also explore the changing nature of audiences, festivals and distributors’ relationships with animation and be granted first-hand guidance in navigating the diverse fields of animated filmmaking. Key Features: Covers the entire process of creating an independent animated film from story development and casting to editing and distribution Presents a comprehensive array of classic and contemporary case studies covering all manner of production methods from traditional pipelines to avant-garde, auteur and experimental approaches Features input and exclusive insight into the working processes of some of the industry’s most noteworthy indie animation talents, including Signe Baumane, Adam Elliot, Don Hertzfeldt, Kirsten Lepore, Robert Morgan, David OReilly, PES, Bill Plympton, Rosto, Chris Shepherd and dozens more Additional resources and interviews are available through a special section of Skwigly Online Animation Magazine.

• Utilizes case studies from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making • Introduces various approaches to build models that exploits different algorithms • Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets • Explores the augmentation of technical and mathematical materials with explanatory worked examples • Includes a glossary, lecture notes, self-assessments, and worked-out practice exercises

*A practical guide to Machine Learning and its applications in translation, in the specific context of translator/localizer training and education * written to be equally useful for both students on translation studies courses and professionals in the area of localization *Unlike existing titles, it focuses on bridging the gap between machine learning technology in the humanities and translation practice and takes a bottom-up, relevancy approach to Machine Learning in Translation

Introduces different optimization algorithms together to solve complex combinatorial optimization problems related to hospital management system or healthcare Applies machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing to authentic hospital management problems Discusses metaheuristic algorithms such as evolutionary algorithms to cope with the fundamental steps of image processing, image analysis, and computer vision pipeline (e.g., restoration, segmentation, registration, classification, reconstruction, or tracking) Creates a bridge between Computational Intelligence and Industrial Engineering towards designing complex and convoluted hospital management problems

Unique selling point: Comprehensive tome on developing and implementing parallel and distributed systems Core audience: Computer science title for systems developers and designers Place in the market: Professional title for a niche segment of developers and programmers

1. Discusses the concept of Social IoT beyond the combinations of Social media and IoT 2. Stimulates research on the topic of the Social Internet of Things 3. Pays special attention to a human centric perspective 4. Provides several characteristics of social, network, and physical security associated with social information networks

This textbook offers an accessible introduction to the historical, technical, and strategic context of global cyber conflict. The second edition has been revised and updated throughout, with three new chapters. Cyber warfare involves issues of doctrine, strategy, policy, international relations (IR) and operational practice associated with computer network attack, computer network exploitation and computer network defense. However, it is conducted within complex sociopolitical settings alongside related forms of digital contestation. This book provides students with a comprehensive perspective on the technical, strategic and policy issues associated with cyber conflict, as well as an introduction to key state and non-state actors. Specifically, the book provides a comprehensive overview of several key issue areas: The historical context of the emergence and evolution of cyber warfare, including the basic characteristics and methods of computer network attack, exploitation and defense An interdisciplinary set of theoretical perspectives on conflict in the digital age from the point of view of the fields of IR, security studies, psychology and science, technology and society (STS) studies Current national perspectives, policies, doctrines and strategies relevant to cyber warfare An examination of key challenges in international law, norm development and deterrence; and The role of emerging information technologies like artificial intelligence and quantum computing in shaping the dynamics of global cyber conflict This textbook will be essential reading for students of cybersecurity/cyber conflict and information warfare, and highly recommended for students of intelligence studies, security and strategic studies, defense policy, and IR in general.

This book focuses on key challenges related to conducting research on mediatisation, presenting the most current theoretical, empirical, and methodological challenges and problems, addressing ignored and less frequently discussed topics, critical and controversial themes, and defining niches and directions of development in mediatisation. With a focus on the under-representation of certain topics and aspects, as well as methodological, technological, and ethical dilemmas, the chapters consider the main critical objections formulated against mediatisation studies and exchange critical positions. Moving beyond areas of common focus – culture, sport, and religion – to emerging areas of study such as fashion, the military, business, and the environment, the book then offers a critical assessment of the transformation of fields and the relevance of new and dynamic (meta)processes including datafication, counter-mediatisation, and platformisation. Charting new paths of development in mediatisation, this book will be of interest to scholars and students of mediatisation, media studies, media literacy, communication studies, and research methods.

This book focuses on key challenges related to conducting research on mediatisation, presenting the most current theoretical, empirical, and methodological challenges and problems, addressing ignored and less frequently discussed topics, critical and controversial themes, and defining niches and directions of development in mediatisation. With a focus on the under-representation of certain topics and aspects, as well as methodological, technological, and ethical dilemmas, the chapters consider the main critical objections formulated against mediatisation studies and exchange critical positions. Moving beyond areas of common focus – culture, sport, and religion – to emerging areas of study such as fashion, the military, business, and the environment, the book then offers a critical assessment of the transformation of fields and the relevance of new and dynamic (meta)processes including datafication, counter-mediatisation, and platformisation. Charting new paths of development in mediatisation, this book will be of interest to scholars and students of mediatisation, media studies, media literacy, communication studies, and research methods.

Reasserting the Disney Brand in the Streaming Era investigates the evolution of the Disney brand at a pivotal moment – the move from content creation to acquisition and streaming – and how the company reasserted its brand in a changing marketplace. Exploring how Disney’s acquisition of Pixar, Marvel, Lucasfilm and Fox positioned the company to launch the Disney+ streaming service, the chapters look at the history of those acquisitions, and the deployment of the content, brands, and intellectual property from those acquisitions, through an analysis of the original content that appeared on Disney+. Offering a focused investigation of how the content offered from these various media brands was adapted for Disney+ so that it reflects the Disney brand, the authors illustrate through close textual analysis how this content reflects elements of the "Classic Disney Style." The analysis positions these texts in relation to their industrial contexts, while also identifying important touchstone texts (both television and film) in Disney's catalog. This comprehensive and thoughtful analysis will interest upper-level students and scholars of media studies, political economy, Disney studies, media industries and new technology.

The rich, multi-faceted and multi-disciplinary field of matching-based market design is an active and important one due to its highly successful applications with economic and sociological impact. Its home is economics, but with intimate connections to algorithm design and operations research. With chapters contributed by over fifty top researchers from all three disciplines, this volume is unique in its breadth and depth, while still being a cohesive and unified picture of the field, suitable for the uninitiated as well as the expert. It explains the dominant ideas from computer science and economics underlying the most important results on market design and introduces the main algorithmic questions and combinatorial structures. Methodologies and applications from both the pre-Internet and post-Internet eras are covered in detail. Key chapters discuss the basic notions of efficiency, fairness and incentives, and the way market design seeks solutions guided by normative criteria borrowed from social choice theory.

This book engages with contemporary, and often polarizing, debates surrounding the risks of adolescent use of digital media and internet technologies. By drawing on multiple research studies, the text synthesizes current understandings of the impacts of social network use, online gaming, pornography, and phenomena, including cyberbullying, cyberstalking, and internet addiction, to develop recommendations for the effective identification of at-risk youth, as well as strategies for informed communication about online risks and opportunities. It shows how media discussion of risks to children and teenagers from new technology is highly emotive and often exaggerated, rooted in the “moral panic� surrounding new cultural practices that young people engage in, but which adults do not understand. Online risks are thus conceptualized as centering on three areas, specific to adolescence, which have undergone radical changes due to new internet technology. These include young people’s identity, the types of content that are accessed, and social relationships. The author shows how these matters stem from the potential of new technology to establish new interpersonal connections, emphasizing how it brings opportunities, as much as risks. As such, he provides a uniquely balanced discussion of potential dangers, while also emphasizing the opportunities for social, academic, and personal growth which new technologies afford young people. It will be indispensable for researchers and clinicians interested in assessing levels of online risk, as well as scholars and educators with interests in cyberpsychology, social psychology, cyber culture, social aspects of computing and media, and adolescent development.

Covers basic and advanced concepts of Synthetic Aperture Radar (SAR) remote sensing Introduces spaceborne SAR sensors Discusses applications of SAR remote sensing in earth observation Explores utilization of SAR data for solid earth, ecosystem, and cryosphere including imaging of extra-terrestrial bodies Includes PolSAR and PolInSAR for forest aboveground biomass retrieval, and InSAR and PolSAR for snow parameters retrieval

This book discusses the role of digital technologies in the growth and development of cultural organizations and the creative sector. It includes contributions by authoritative scholars who address this topic through different perspectives, methodologies and approaches. The first part of the volume focusses on theoretical contributions that identify the main transformations caused by the digital revolution, the use of data, outlining new possible analytic frameworks and future lines of research. The second part of the volume presents empirical contributions applied to different fields in the study of the cultural and creative sectors. These range from analyses of traditional cultural organizations such as museums, the evolution of trajectories in the fashion industry, techno-creative communities, digital services for tourism, to cultural and creative industries and wealth and creative work. This edited volume will be of great value to scholars in the fields of Economics and Management including Economic Geography and Economic Development. Students and researchers interested in learning more about new technologies and their impact on cultural and creative sectors will also benefit from this book. This book was originally published as a special issue of European Planning Studies.

• Introduces the principles of system dynamics, and demonstrates them with respect to problems in pavement engineering. • Provides useful models for readers to download and further modify and improve for their own use. • Serves as a practical guide for both students and practitioners to explore systems concepts, and develop insights for sustainable and resilient pavements.

This book argues that the world order is no longer unipolar, and the war in Ukraine proves this fact. As this study describes and theorizes, it has been transformed into a Multipolar World Order 2.0 stage. This title critically examines Chinese, US, Russian, EU, Indian, and a number of other powers’ cooperation and competition over security, diplomatic, economic and cyberspace issues. Accomplished scholars from various regions of the Eurasian continent consider the impact of the Russo–Ukrainian war, the Sino–Russian strategic partnership, China’s relations with the United States and the European Union, the influence of the Belt and Road Initiative, the expansion of the Shanghai Cooperation Organization and Eurasian Economic Union, China’s policies in the Middle East, Central Asia, Indo-Asia Pacific, the South Caucasus, Central and Eastern Europe, as well as focus on details of growing contradictions and collaboration in the Eurasian continent over markets, technologies, digital leadership, vaccine distribution, and financial institutions in the Era of Multipolar World Order 2.0. Showing that the US-centred unipolar world order is replaced by Multipolar World Order 2.0 where conflicting powers fight to keep or extend their spheres of influence, this volume is of great interest to decision makers, diplomats, scholars and students of international relations, politics, global governance, Eurasian studies, Chinese studies, cybersecurity, and economics, and for those studying human security, international organizations, and geopolitics.

This book offers an accessible and comprehensive introduction to relationship marketing in franchising and retailing, especially in areas such as business and marketing management as well as strategic marketing. The topics this book covers include (but is not limited to): (1) relationships in the context of e-commerce within the franchising sector; (2) franchisees with multiple stakeholder roles: perceptions and conflict in franchise networks; (3) why franchisors recruit franchisees from the ranks of their employees; (4) franchisee advisory councils and justice; and (5) determinants of overall franchisee satisfaction. This book is ideal for students, practitioners and professionals interested in Relationship Marketing, Customer Services, and Marketing Communications. The chapters in this book were originally published as a special issue of Journal of Strategic Marketing.

Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities. Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.

While most discoverability evaluation studies in the Library and Information Science field discuss the intersection of discovery layers and library systems, this book looks specifically at digital repositories, examining discoverability from the lenses of system structure, user searches, and external discovery avenues. Discoverability, the ease with which information can be found by a user, is the cornerstone of all successful digital information platforms. Yet, most digital repository practitioners and researchers lack a holistic and comprehensive understanding of how and where discoverability happens. This book brings together current understandings of user needs and behaviors and poses them alongside a deeper examination of digital repositories around the theme of discoverability. It examines discoverability in digital repositories from both user and system perspectives by exploring how users access content (including their search patterns and habits, need for digital content, effects of outreach, or integration with Wikipedia and other web-based tools) and how systems support or prevent discoverability through the structure or quality of metadata, system interfaces, exposure to search engines or lack thereof, and integration with library discovery tools. Discoverability in Digital Repositories will be particularly useful to digital repository managers, practitioners, and researchers, metadata librarians, systems librarians, and user studies, usability and user experience librarians. Additionally, and perhaps most prominently, this book is composed with the emerging practitioner in mind. Instructors and students in Library and Information Science and Information Management programs will benefit from this book that specifically addresses discoverability in digital repository systems and services.

The book Advances in Distance Learning in Times of Pandemic is devoted to the issues and challenges faced by universities in the field of distance learning in COVID-19 times. It covers both the theoretical and practical aspects connected to distance education. It elaborates on issues regarding distance learning, its challenges, assessment by students and their expectations, the use of tools to improve distance learning, and the functioning of e-learning in the industry 4.0 and society 5.0 eras. The book also devotes a lot of space to the issues of Web 3.0 in university e-learning, quality assurance, and knowledge management. The aim and scope of this book is to draw a holistic picture of ongoing online teaching-activities before and during the lockdown period and present the meaning and future of e-learning from students’ points of view, taking into consideration their attitudes and expectations as well as industry 4.0 and society 5.0 aspects. The book presents the approach to distance learning and how it has changed, especially during a pandemic that revolutionized education. It highlights • the function of online education and how that has changed before and during the pandemic. • how e-learning is beneficial in promoting digital citizenship. • distance learning characteristic in the era of industry 4.0 and society 5.0. • how the era of industry 4.0 treats distance learning as a desirable form of education. The book covers both scientific and educational aspects and can be useful for university-level undergraduate, postgraduate and research-grade courses and can be referred to by anyone interested in exploring the diverse aspects of distance learning.

Written for professionals looking to build data science and analytics capabilities within their organizations as well as those who wish to expand their knowledge and advance their careers in the data space Shows how to build a fit-for-purpose data science capability in a manner that avoids the most common pitfalls Most data strategy works 'top-down' by providing technical solutions to perceived organizational needs. This book uses emergent design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment

It is useful to highlight how we rely on historical research on the potential of technology in order to problematize and make sense of the prominent role of technology in the UN's framework for sustainable development and the Sustainable Development Goals. The book follows an interdisciplinary approach wherein the contributors come from the disciplines of computer science, law, philosophy, political science, economy, sociology, amongst others.