Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring: - A comprehensive overview of the various fields of application of data science - Case studies from practice to make the described concepts tangible - Practical examples to help you carry out simple data analysis projects The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term. Contains these current issues: - Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms. - Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice - Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies - Computer vision: How can we gain insights from images and videos with data science? - Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios. - ML and AI in production: How to turn experimentation into a working data science product? - Presenting your results: Essential presentation techniques for data scientists Contributors: Stefan Papp / Wolfgang Weidinger / Katherine Munro / Bernhard Ortner / Annalisa Cadonna / Georg Langs / Roxane Licandro / Mario Meir-Huber / Danko Nikoli? / Zoltan Toth / Barbora Vesela / Rania Wazir / Günther Zauner

Provides a wide range of case studies of music in film scenes, allowing instructors to pick and choose examples to focus on. Each case study is accessibly written and follows the same format, breaking down elements of the scene for students in a clear manner that invites comparisons. Organized by the type of musical use, allowing instructors to readily find examples of different types of music functions, and compare across different films.

This book is a compendium of various applications and current progress in a powerful technology known as the Internet of Things (IoT). IoT provides a system of interconnecting things such as vehicles, electrical equipment, agriculture devices, etc. Such items are allocated with the computing device so that they can use a network to transfer data to one another and automate their actions on certain events. Internet of Things: Applications for Sustainable Development will throw light on recent developments in the latest field and will be of great interest to know various application areas for sustainable development. This book mainly focuses on the current state of the art, including protocol design and low-cost sensor design, for the sustainable development of society using IoT. The sustainable development areas include climate, healthcare systems, electrical systems, and energy that can meet present and next-generation advancement using IoT. Sustainable development faces various issues, challenges, opportunities, and future enhancements with the latest technologies, hardware, and software. Features: A real-world problem-solving approach for diversified problems Potential contributors from industries/academia have been given the opportunity to publish their work Identification of various challenges in IoT for future contributions Diversified coverage of the book, including applications, securities, industrialization, automation, etc IoT for the sustainable development areas This book will offer strong support as a reference book for students, practitioners, researchers, and scientific investigators worldwide, as well as anyone who wants to set up IoT-enabled industries. It provides pertinent industries with new ideas and innovations to visionaries.

Role of Blockchain Technology in IoT Applications, Volume 115 in the Advances in Computers series, reviews the latest information on this topic that promises many applications in human life. According to forecasts made by various market research/survey agencies, there will be around 50 Billion connected devices (IoT) by 2020. Updates in this new release include chapters on the Technical Aspects of Blockchain and IoT, Integrated Platforms for Blockchain-Enablement, Intersections Between IoT and Distributed Ledger, Blockchain and Artificial Intelligence: How and Why Combining These Two Groundbreaking Technologies, Blockchain Applications in Health Care and Opportunities and Advancements Due to New Information Technology Frameworks, and more.

Manufacturing companies have just begun to implement the concepts of the Fourth Industrial Revolution (Industry 4.0) on a larger scale. Still, this area is characterized by a rapid pace of technological change, blurring boundaries between physical, digital, and biological systems, and a quickly changing growing political, economic, and social environment -- leading to high uncertainty in decision making and many questions about the future development in this field. To provide guidance and inspiration for managers and academics on the future of digital manufacturing systems, this book presents the results of an extensive Delphi study on next-generation manufacturing systems, with a projection period of up to 2030. We analyzed almost 2000 quantitative estimations and more than 600 qualitative arguments from a large panel of industrial and academic experts from Europe, North America, and Asia. The book describes each of the 24 projections in detail, offering current case study examples and related research, as well as implications for policymakers, firms, and individuals. The empirical results also allowed us to build scenarios for the most probable future along the dimensions of governance, organization, capabilities, and interfaces from both a company-internal and an external (network) perspective.

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

Cloud computing, the Internet of Things (IoT), and big data are three significant technological trends affecting the world's largest corporations. This book discusses big data, cloud computing, and the IoT, with a focus on the benefits and implementation problems. In addition, it examines the many structures and applications pertinent to these disciplines. Also, big data, cloud computing, and the IoT are proposed as possible study avenues. Features: Informs about cloud computing, IoT and big data, including theoretical foundations and the most recent empirical findings Provides essential research on the relationship between various technologies and the aggregate influence they have on solving real-world problems Ideal for academicians, developers, researchers, computer scientists, practitioners, information technology professionals, students, scholars, and engineers exploring research on the incorporation of technological innovations to address contemporary societal challenges

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.

Provides background material needed to understand digital twin technology Presents computational facet of digital twin Includes physics based and surrogate model representations Addresses the problem of uncertainty in measurements and modeling Discusses practical case studies of implementation of digital twins addressing additive manufacturing, server farms, predictive maintenance, and smart cities

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.

Focuses on several core aspects of Industry 4.0 on computer vision & imaging. Highlights several exciting techniques for disease prediction, NLP, image captioning, flood level assessment, crop classifications, and fabrication of smart wheelchairs. Covers several chapters on Natural Language Processing (NLP), focusing on Bangla language. Chapters presented in a step-by-step manner so that young minds can understand and implement easily.

Analyses of specific, animated films with timecodes give concrete lessons with pinpointed examples: Flee, Soul, Porco Rosso, and The Triplets of Belleville. Makes acting theory simple and straightforward for non-expert animation professionals and students. An updated online database of Ed’s previous film analyses, all in one place.

A very concise guide to a popular programming language, so there is a healthy demand for content which teaches who to utilize JavaScript. The book's broad coverage (paired with being compact) makes it more appealing than competitor's books currently on the market. Compared to online material, it has the benefit of material being presented in one coherent sequence. Author utilizes many years of teaching experience to communicate an effective way for teaching JavaScript quickly.

• 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

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.

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.

*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

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.

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

Explores text mining and IoT applications for monitoring and controlling smart industrial systems Describes the key principles and techniques for Big-data analytics, security, and optimization for industrial applications. Provides context-aware insights, human-centric industry, smart computing for next-generation industry

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