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Climate Change Communication and the Internet
Par Nelya Koteyko, Brigitte Nerlich and Iina Hellsten. 2017
The volume provides a timely, state of the art collection of studies examining climate change communication in the era of…
digital media. The chapters focus on a broad range of topics covering various aspects of both practice and research in climate change communication, ranging from the use of online platforms, to blogs, and social networking sites. Climate change communication has increasingly moved into Internet-based forums, and this volume provides a comprehensive overview of research into Internet and climate change communication. The studies share valuable methodological insights in this relatively new field of research and shed light on the opportunities and challenges underlying the collection and analysis of online climate change-related data. This book was previously published as a special issue of Environmental Communication.Privacy is not just the right to be left alone, but also the right to autonomy, control, and access to…
your personal data. The employment of new technologies over the last three decades drives personal data to play an increasingly important role in our economies, societies, and everyday lives. Personal information has become an increasingly valuable commodity in the digital age.At the same time, the abundance and persistence of personal data have elevated the risks to individuals’ privacy. In the age of Big Data, the Internet of Things, Biometrics, and Artificial Intelligence, it is becoming increasingly difficult for individuals to fully comprehend, let alone control, how and for what purposes organizations collect, use, and disclose their personal information. Consumers are growing increasingly concerned about their privacy, making the need for strong privacy champions ever more acute.With a veritable explosion of data breaches highlighted almost daily across the globe, and the introduction of heavy-handed privacy laws and regulatory frameworks, privacy has taken center stage for businesses. Businesses today are faced with increasing demands for privacy protections, ever-more complex regulations, and ongoing cybersecurity challenges that place heavy demands on scarce resources. Senior management and executives now acknowledge privacy as some of the biggest risks to the business.Privacy, traditionally, has existed in a separate realm, resulting in an unintentional and problematic barrier drawn between the privacy team and the rest of the organization. With many regulatory frameworks to consider, building an all-encompassing data privacy program becomes increasingly challenging. Effective privacy protection is essential to maintaining consumer trust and enabling a robust and innovative digital economy in which individuals feel they may participate with confidence.This book aims at helping organizations in establishing a unified, integrated, enterprise-wide privacy program. This book is aiming to help privacy leaders and professionals to bridge the privacy program and business strategies, transform legal terms and dead text to live and easy-to-understand essential requirements which organizations can easily implement, identify and prioritize privacy program gap initiatives and promote awareness and embed privacy into the everyday work of the agency and its staff.An Introduction to Image Classification: From Designed Models to End-to-End Learning
Par Klaus D. Toennies. 2024
Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve…
feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight. The book starts from introducing methods for model-driven feature extraction and classification, including basic computer vision techniques for extracting high-level semantics from images. A brief overview of probabilistic classification with generative and discriminative classifiers is then provided. Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed. The relationships between network components and those of a traditional designed model are explored, and different concepts for regularizing model training are explained. Finally, various methods for analyzing what a network has learned are covered in the closing section of the book. The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.Multiscale Geographically Weighted Regression: Theory and Practice
Par A. Stewart Fotheringham, Taylor M. Oshan, Ziqi Li. 2024
· Provides a balance between conceptual and technical introduction to local models · Explains state-of-the-art spatial analysis technique for multiscale…
regression modeling · Describes best practices and provides a detailed walkthrough of freely available software, through examples and comparisons with other common spatial data modeling techniques · Includes a detailed case study to demonstrate methods and software · Takes a new and exciting angle on local spatial modeling using MGWR, an innovation to the previous local modeling ‘bible’ GWRHandbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things (ISSN)
Par Agbotiname Lucky Imoize, Valentina Emilia Balas, Vijender Kumar Solanki, Cheng-Chi Lee, Mohammad S. Obaidat. 2024
The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook…
addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems.Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions.This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others.Green, Pervasive, and Cloud Computing: 18th International Conference, GPC 2023, Harbin, China, September 22–24, 2023, Proceedings; Part II (Lecture Notes in Computer Science #14504)
Par Hai Jin, Zhiwen Yu, Chen Yu, Xiaokang Zhou, Zeguang Lu, Xianhua Song. 2024
This book constitutes the refereed proceedings of the 18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023, held in…
Harbin, China, during September 23–24, 2023.The 38 full papers and 1 short paper included in this book were carefully reviewed and selected from 111 submissions. They were organized in topical sections as follows: Industrial Digitization and Applications, Edge Intelligence, Mobile Sensing and Computing, Cyber-Physical-Social Systems, Pervasive and Green Computing and Wireless and Ubiquitous Networking.XR and Metaverse: Proceedings of the 8th International XR-Metaverse Conference 2023, Las Vegas, USA (Springer Proceedings in Business and Economics)
Par M. Claudia tom Dieck, Timothy Jung, Yen-Soon Kim. 2024
This book offers a comprehensive collection of the latest research presented at the 8th International XR-Metaverse Conference, held in Las…
Vegas, USA in 2023. Its goal is to bridge the gap between academia and industry by advancing the state of the art in metaverse, XR, AI-based AR and VR technologies, and by exploring their applications in various fields such as business, marketing, education, health care, tourism, events, fashion, entertainment, retail, and the gaming industry. Including contributions by prominent XR scholars from around the globe, the book addresses a wide range of significant topics concerning XR and the metaverse. Showcasing cutting-edge research outputs, it will be of interest to both academics and practitioners eager to catch up on the latest developments in this rapidly evolving field.Green, Pervasive, and Cloud Computing: 18th International Conference, GPC 2023, Harbin, China, September 22–24, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14503)
Par Hai Jin, Zhiwen Yu, Chen Yu, Xiaokang Zhou, Zeguang Lu, Xianhua Song. 2024
This book constitutes the refereed proceedings of the 18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023, held in…
Harbin, China, during September 23–24, 2023.The 38 full papers and 1 short paper included in this book were carefully reviewed and selected from 111 submissions. They were organized in topical sections as follows: Industrial Digitization and Applications, Edge Intelligence, Mobile Sensing and Computing, Cyber-Physical-Social Systems, Pervasive and Green Computing and Wireless and Ubiquitous Networking.Linked Data for Digital Humanities (ISSN)
Par Terhi Nurmikko-Fuller. 2024
Linked Data for Digital Humanities provides insights into how digital technologies can enrich and diversify humanities scholarship and make it…
pioneering in the digital age.Written in non-specialist language, the book illustrates how information is captured, published, represented, accessed, and interpreted using computational systems and, in doing so, shows how technologies actively shape the way we understand what we encounter. Focusing as it does on underlying Web architecture and projects accessible online, the book has an inherently international focus. The interdisciplinary case study examples include bibliographic data from works published in England between 1470 and 1700; literature from ancient Iraq; jazz performances, predominantly from the USA in the 1930s; and even reach as far as an alien, fictional future. Whilst these case study examples span vast spatio-temporal distances, they all share a common thread in the use of the Linked Data information publication paradigm. Using existing computer science methods, as well as processes such as ontology development and database design, the book also includes reflections on practical considerations and offers advice about how to take institutional policies, socio-cultural sensitivities, and economic models into consideration when implementing Linked Data projects.Linked Data for Digital Humanities discusses technological issues in the context of Humanities scholarship, bridging disciplines and enabling informed conversations across disciplinary boundaries. It will be of interest to humanities scholars, computer and data scientists, and library and information scientists.Generative KI ist ein Game Changer für Verlage. Wie aber sollten Verlage darauf reagieren? Da in der Publishing-Branche Daten eine wichtige…
Rolle spielen, können KI-Technologien auch hier wertvolle Beiträge leisten. Diese Innovationen sichern gleichzeitig die Zukunft der Verlagsbranche gegenüber globalen Tech-Konzernen ab, die selbst Publishing anbieten. Ziel des Bandes ist es daher, über konkrete Potenziale in Verlagen zu sprechen, seien es z. B. Manuskriptarbeit, Marketingkommunikation oder Nachauflagen. Mit einer Einführung in KI, drei konkreten Fallbeispielen und einer Potenzialanalyse zu ChatGPT.Innovative Technologies for Printing, Packaging and Digital Media (Lecture Notes in Electrical Engineering #1144)
Par Huihui Song, Min Xu, Li Yang, Linghao Zhang, Shu Yan. 2024
This book includes original, peer-reviewed research papers from the 14th China Academic Conference on Printing and Packaging (CACPP 2023), held…
in Beijing, China on November 24-26, 2023. The proceedings cover the latest findings in color science and technology, image processing technology, digital media technology, mechanical and electronic engineering and numerical control, materials and detection, printing and packaging technology, and so on. As such, the book is of interest to university researchers, R&D engineers and graduate students in the fields of color science, image science, materials science, computer science, digital media, network technology, smart manufacturing technology and printing and packaging.Unifying Business, Data, and Code
Par Ron Itelman, Juan Cruz Viotti. 2024
In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and…
Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit. Misalignment between business and technical teams halts innovation. You'll learn how to transcend the root causes of project failure-the ambiguity, knowledge gaps, and blind spots that lead to wasted efforts. The unifying methodology in this book will teach you these alignment tools and more: The four facets of data products: A simple blueprint that encapsulates data and business logic helps eliminate the most common causes of wasted time and misunderstandingThe concept compass: An easy way to identify the biggest sources of misalignmentSuccess spectrums: Define the required knowledge and road map your team needs to achieve successJSON Schema: Leverage JSON and JSON Schema to technically implement the strategy at scale, including extending JSON Schema with custom keywords, understanding JSON Schema annotations, and hosting your own schema registryData hygiene: Learn how to design high-quality datasets aligned with creating real business value, and protect your organization from the most common sources of painProceedings of the 30th International Laser Radar Conference (Springer Atmospheric Sciences)
Par John T. Sullivan, Thierry Leblanc, Sara Tucker, Belay Demoz, Edwin Eloranta, Chris Hostetler, Shoken Ishii, Lucia Mona, Fred Moshary, Alexandros Papayannis, Krishna Rupavatharam. 2023
This volume presents papers from the biennial International Laser Radar Conference (ILRC), the world’s leading event in the field of…
atmospheric research using lidar. With growing environmental concerns to address such as air quality deterioration, stratospheric ozone depletion, extreme weather events, and changing climate, the lidar technique has never been as critical as it is today to monitor, alert, and help solve current and emerging problems of this century. The 30th occurrence of the ILRC unveils many of the newest results and discoveries in atmospheric science and laser remote sensing technology. The 30th ILRC conference program included all contemporary ILRC themes, leveraging on both the past events’ legacy and the latest advances in lidar technologies and scientific discoveries, with participation by young scientists particularly encouraged. This proceedings volume includes a compilation of cutting-edge research on the following themes: new lidar techniques and methodologies; measurement of clouds and aerosol properties; atmospheric temperature, wind, turbulence, and waves; atmospheric boundary layer processes and their role in air quality and climate; greenhouse gases, tracers, and transport in the free troposphere and above; the upper mesosphere and lower thermosphere; synergistic use of multiple instruments and techniques, networks and campaigns; model validation and data assimilation using lidar measurements; space-borne lidar missions, instruments and science; ocean lidar instrumentation, techniques, and retrievals; and past, present and future synergy of heterodyne and direct detection lidar applications. In addition, special sessions celebrated 50 years of lidar atmospheric observations since the first ILRC, comprising review talks followed by a plenary discussion on anticipated future directions.Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)
Par Apoorva S. Shastri, Kailash Shaw, Mangal Singh. 2023
This book aims to provide a collection of state-of-the-art scientific and technical research papers related to machine learning-based algorithms in…
the field of optimization and engineering design. The theoretical and practical development for numerous engineering applications such as smart homes, ICT-based irrigation systems, academic success prediction, future agro-industry for crop production, disease classification in plants, dental problems and solutions, loan eligibility processing, etc., and their implementation with several case studies and literature reviews are included as self-contained chapters. Additionally, the book intends to highlight the importance of study and effectiveness in addressing the time and space complexity of problems and enhancing accuracy, analysis, and validations for different practical applications by acknowledging the state-of-the-art literature survey. The book targets a larger audience by exploring multidisciplinary research directions such as computer vision, machine learning, artificial intelligence, modified/newly developed machine learning algorithms, etc., to enhance engineering design applications for society. State-of-the-art research work with illustrations and exercises along with pseudo-code has been provided here.Applied Computing for Software and Smart Systems: Proceedings of ACSS 2023 (Lecture Notes in Networks and Systems #781)
Par Rituparna Chaki, Nabendu Chaki, Agostino Cortesi, Khalid Saeed. 2023
This book features a collection of high-quality research papers presented at the 10th International Symposium on Applied Computing for Software…
and Smart systems (ACSS 2023), to be held during September 15–16, 2023, in Kolkata, India. The book presents innovative works by undergraduate, graduate students as well as Ph.D. scholars. The emphasis of the workshop is on software and smart systems and research outcomes on other relevant areas pertaining to advancement of computing.GDPR Requirements for Biobanking Activities Across Europe
Par Sabrina Brizioli, Alessandra Langella. 2023
The book deals with the effective operation of the rules related to biomedical research and pays attention to the activities…
of the national legislatures of the 27 Member States in the field of scientific research. This multilevel system has an impact on biobanking activity. The book answers questions realized by operators on the main biobanks around the EU in the field of GDPR. The authors and editors used the questions born from brainstorming among members of the Association European, Middle East & Africa for Biopreservation and Biobanking (ESBB) to offer to the operators in biobanking activity and researchers quickly answer to their daily questions, but with authors highest quality. Further the book provides a comprehensive review of the rapidly expanding field of biobanking. It provides researchers and scholars working on biobanking and bio-sharing and more in general in the university hospitals and clinical trial consortiums, and companies, biomedical researchers, but also jurists and the professionals (in particular judges, lawyers, officers) an instrument rigorous but easy to use of the GDPR in the case of biobanking activities. The book identifies a methodological path to tackle the legal or ethical problem on a specific scientific-technological to verify existing solutions and give ideas for future applications. The importance of the legal solution influences the implementation of the development of the biobanking activity service itself.Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow (Future of Business and Finance)
Par Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing. 2023
This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into…
Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.Digital Transformation: What is the Company of Today? (Lecture Notes in Networks and Systems #805)
Par Andrea Bencsik, Anastasia Kulachinskaya. 2023
This book offers the latest research on organizational management, knowledge management, organizational functioning, organizational digitalization, and other issues of modern…
company development. The book proposes to look at the pool of these problems through the prism of building various models for implementing digital transformation of business and processes. This book is intended for both young and experienced scientists who want to get acquainted with latest trends and data to use them in their research.This book presents a new way of thinking about quantum mechanics and machine learning by merging the two. Quantum mechanics…
and machine learning may seem theoretically disparate, but their link becomes clear through the density matrix operator which can be readily approximated by neural network models, permitting a formulation of quantum physics in which physical observables can be computed via neural networks. As well as demonstrating the natural affinity of quantum physics and machine learning, this viewpoint opens rich possibilities in terms of computation, efficient hardware, and scalability. One can also obtain trainable models to optimize applications and fine-tune theories, such as approximation of the ground state in many body systems, and boosting quantum circuits’ performance. The book begins with the introduction of programming tools and basic concepts of machine learning, with necessary background material from quantum mechanics and quantum information also provided. This enables the basic building blocks, neural network models for vacuum states, to be introduced. The highlights that follow include: non-classical state representations, with squeezers and beam splitters used to implement the primary layers for quantum computing; boson sampling with neural network models; an overview of available quantum computing platforms, their models, and their programming; and neural network models as a variational ansatz for many-body Hamiltonian ground states with applications to Ising machines and solitons. The book emphasizes coding, with many open source examples in Python and TensorFlow, while MATLAB and Mathematica routines clarify and validate proofs. This book is essential reading for graduate students and researchers who want to develop both the requisite physics and coding knowledge to understand the rich interplay of quantum mechanics and machine learning.Evolution of STEM-Driven Computer Science Education: The Perspective of Big Concepts
Par Vytautas Štuikys, Renata Burbaitė. 2024
The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education…
(Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and assessing learning outcomes for K-12 students (9-12 classes), the multi-dimensional modelling methodology is at the centre. The methodology covers conceptual and feature-based modelling, prototyping, and virtual and physical modelling at the implementation and usage level. Chapters contain case studies to assist understanding and learning. The book contains multiple methodological and scientific innovations including models, frameworks and approaches to drive STEM-driven CS education evolution.Educational strategists, educators, and researchers will find valuable material in this book to help them improve STEM-driven CS education strategies, curriculum development, and new ideas for research.