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Contemporary Artificial Intelligence (Chapman And Hall/crc Artificial Intelligence And Robotics Ser.)
by Richard E. NeapolitanThe notion of artificial intelligence (AI) often sparks thoughts of characters from science fiction, such as the Terminator and HAL 9000. While these two artificial entities do not exist, the algorithms of AI have been able to address many real issues, from performing medical diagnoses to navigating difficult terrain to monitoring possible failures
Contemporary Complex Systems and Their Dependability: Proceedings Of The Thirteenth International Conference On Dependability And Complex Systems Depcos-relcomex. July 2 - 6, 2018, Brunów, Poland (Advances In Intelligent Systems And Computing #761)
by Tomasz Walkowiak Jarosław Sugier Jacek Mazurkiewicz Wojciech Zamojski Janusz KacprzykThis book presents the proceedings of the Thirteenth International Conference on Dependability and Complex Systems (DepCoS-RELCOMEX), which took place in the Brunów Palace in Poland from 2nd to 6th July 2018. The conference has been organized at the Faculty of Electronics, Wrocław University of Science and Technology since 2006, and it continues the tradition of two other events: RELCOMEX (1977–89) and Microcomputer School (1985–95). The selection of papers in these proceedings illustrates the broad variety of topics that are investigated in dependability analyses of today’s complex systems. Dependability came naturally as a contemporary answer to new challenges in the reliability evaluation of these systems. Such systems cannot be considered only as structures (however complex and distributed) built on the basis of technical resources (hardware): their analysis must take into account a unique blend of interacting people (their needs and behaviours), networks (together with mobile properties, cloud-based systems) and a large number of users dispersed geographically and producing an unimaginable number of applications (working online). A growing number of research methods apply the latest advances in artificial intelligence (AI) and computational intelligence (CI). Today’s complex systems are really complex and are applied in numerous different fields of contemporary life.
Contemporary Evolution Strategies (Natural Computing Series)
by Thomas Bäck Christophe Foussette Peter KrauseThis book surveys key algorithm developments between 1990 and 2012, with brief descriptions, a unified pseudocode for each algorithm and downloadable program code. Provides a taxonomy to clarify similarities and differences as well as historical relationships.
Contemporary Experimental Design, Multivariate Analysis and Data Mining: Festschrift in Honour of Professor Kai-Tai Fang
by Jianqing Fan Jianxin PanThe collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences. Especially in the era of big data, researchers can easily collect data characterised by massive dimensions and complexity. In celebration of Professor Kai-Tai Fang’s 80th birthday, we present this book, which furthers new and exciting developments in modern statistical theories, methods and applications. The book features four review papers on Professor Fang’s numerous contributions to the fields of experimental design, multivariate analysis, data mining and education. It also contains twenty research articles contributed by prominent and active figures in their fields. The articles cover a wide range of important topics such as experimental design, multivariate analysis, data mining, hypothesis testing and statistical models.
The Contemporary Family in France
by Arnaud Régnier-LoilierThis book provides a portrait of the family in France today, revealing many of the deep-seated, demographic changes that have affected French society in recent decades. It first focuses on conjugal and family trajectories, examining union formation, types of union, entry into parenthood, influence of religion, and separation. Next, the book explores domestic organization within the couple. It looks at gender differences in attitudes to task-sharing, division of household and parenting tasks, influence of past partnership history, and changes after a birth. The book presents a series of studies based on the French version of the international Generations and Gender Survey, a major comparative research project conducted in 20 countries to collect information from individuals aged 18-79 about relationships and processes in the life course. Inside, readers will find insightful analysis of the survey results by sociologists, demographers, and economists, and come to better understand recent demographic and social developments in France as well as the factors influencing them. The book will appeal to a broad audience of students and researchers interested in family, gender, and intergenerational relations. In addition, as the survey data are comparable across countries, the book will provide researchers with ideas for further research opportunities in Europe and beyond.
Contemporary Fuzzy Logic: A Perspective of Fuzzy Logic with Scilab (Big and Integrated Artificial Intelligence #1)
by Stefania Tomasiello Witold Pedrycz Vincenzo LoiaThis book offers an essential introduction to fuzzy logic, starting with the classical notions and going through more advanced notions from the current state-of-the-art research. Each of the major topics is accompanied by examples, problems and Scilab codes. As a free open source software, Scilab offers everyone the chance to practice the concepts learned through the book. The book represents a synthesis of authors’ research and experience through the lectures delivered to university students. It is primarily intended as a textbook for upper-level undergraduates and graduates in computer science, mathematics, physics and engineering. It also represents a valuable resource for practitioners and researchers alike, bringing ideas for projects in the broad field of fuzzy logic.
Contemporary Gender Formations in India: In-between Conformity, Dissent and Affect
by Nandini DharThe volume discusses critical issues surrounding the developments in gender movements in the last two decades in India following the Delhi rape case and the ensuing massive protests in December 2012. A critical documentation of some of the key moments surrounding the contemporary gendered formations and radicalisms in South Asia, the chapters span questions of class, caste, sexuality, digital feminisms, and conflict zones. The book looks at anger, protest, and imaginations of resistance. It showcases the ‘new’ visibility that digital spaces have opened up to lend voice to survivors who are let down by traditional justice mechanisms and raises questions regarding ‘individualized’ modes of seeking justice as against traditional ‘collective’ voices that have always been a hallmark of movements. The volume analyses and criticizes the complicity of the state and the court as agents of reinforcing gender violence – an issue that has not been theorized enough by activists and scholars of violence. Further, it also delves into the #MeToo movement and the LoSHA, as both have raised contentious, controversial, and often conflicting debates on the nature of addressing sexual harassment, particularly at the workplace. Calling for further debate and discussions of cyberspace, gender justice, sexual violence, male entitlement, and forms of neoliberal feminism, this volume will be of immense interest to scholars and researchers in the areas of women and gender studies, sociology and social theory, gender politics, political theory, democracy, protest movements, politics, media and the internet, political advocacy, and law and legal theory. It will also be a compelling read for anyone interested in gender justice and equal rights.
Contemporary High Performance Computing: From Petascale toward Exascale (Chapman & Hall/CRC Computational Science)
by Jeffrey S. VetterContemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors. The first part of the book examines significant trends in HPC systems, including computer architectures, applications, performance, and software. It discusses the growth from terascale to petascale computing and the influence of the TOP500 and Green500 lists. The second part of the book provides a comprehensive overview of 18 HPC ecosystems from around the world. Each chapter in this section describes programmatic motivation for HPC and their important applications; a flagship HPC system overview covering computer architecture, system software, programming systems, storage, visualization, and analytics support; and an overview of their data center/facility. The last part of the book addresses the role of clouds and grids in HPC, including chapters on the Magellan, FutureGrid, and LLGrid projects. With contributions from top researchers directly involved in designing, deploying, and using these supercomputing systems, this book captures a global picture of the state of the art in HPC.
Contemporary High Performance Computing: From Petascale toward Exascale, Volume 3 (Chapman & Hall/CRC Computational Science)
by Jeffrey S. VetterContemporary High Performance Computing: From Petascale toward Exascale, Volume 3 focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors. This third volume will be a continuation of the two previous volumes, and will include other HPC ecosystems using the same chapter outline: description of a flagship system, major application workloads, facilities, and sponsors. Features: Describes many prominent, international systems in HPC from 2015 through 2017 including each system’s hardware and software architecture Covers facilities for each system including power and cooling Presents application workloads for each site Discusses historic and projected trends in technology and applications Includes contributions from leading experts Designed for researchers and students in high performance computing, computational science, and related areas, this book provides a valuable guide to the state-of-the art research, trends, and resources in the world of HPC.
Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two (Chapman And Hall/crc Computational Science Ser.)
by Jeffrey S. VetterHPC is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets such as those in genome sequencing, astronomical observation, and cybersecurity; and the intricate design of engineered products, such as airplanes and automobiles.This second volume of Contemporary High Performance Computing: From Petascale toward Exascale continues to document international HPC ecosystems, including the sponsors and sites that host them. Each chapter is punctuated with a site's flagship system and:Presents highlights of applications, workloads, and benchmarksDescribes hardware architectures, system software, and programming systemsExplores storage, visualization, and analyticsExamines the data center/facility as well as system statisticsFeaturing pictures of buildings and systems in production, floorplans, and many block diagrams and charts to illustrate system design and performance, Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two delivers a detailed snapshot of the rich history of practice in modern HPC. This book provides a valuable reference for researchers in HPC and computational science.
Contemporary Issues in Communication, Cloud and Big Data Analytics: Proceedings of CCB 2020 (Lecture Notes in Networks and Systems #281)
by Hiren Kumar Deva Sarma Valentina Emilia Balas Bhaskar Bhuyan Nitul DuttaThis book presents the outcomes of the First International Conference on Communication, Cloud, and Big Data (CCB) held on December 18–19, 2020, at Sikkim Manipal Institute of Technology, Majitar, Sikkim, India. This book contains research papers and articles in the latest topics related to the fields like communication networks, cloud computing, big data analytics, and on various computing techniques. Research papers addressing security issues in above-mentioned areas are also included in the book. The research papers and articles discuss latest issues in the above-mentioned topics. The book is very much helpful and useful for the researchers, engineers, practitioners, research students, and interested readers.
Contemporary Issues in Digital Marketing
by Outi NiininenThis book presents a comprehensive overview of the key topics, best practices, future opportunities and challenges in the Digital Marketing discourse. With contributions from world-renowned experts, the book covers: • Big Data, Artificial Intelligence and Analytics in Digital Marketing • Emerging technologies and how they can enhance User Experience • How ‘digital’ is changing servicescapes • Issues surrounding ethics and privacy • Current and future issues surrounding Social Media • Key considerations for the future of Digital Marketing • Case studies and examples from real-life organisations Unique in its rigorous, research-driven and accessible approach to the subject of Digital Marketing, this text is valuable supplementary reading for advanced undergraduate and postgraduate students studying Digital and Social Media Marketing, Customer Experience Management, Digital Analytics and Digital Transformation.
Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences: Contemporary Issues In Exploratory Data Mining In The Behavioral Sciences (Quantitative Methodology Series)
by John J. McArdle Gilbert RitschardThis book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.
Contemporary Issues in Group Decision and Negotiation: 21st International Conference on Group Decision and Negotiation, GDN 2021, Toronto, ON, Canada, June 6–10, 2021, Proceedings (Lecture Notes in Business Information Processing #420)
by Danielle Costa Morais Liping Fang Masahide HoritaThis book constitutes the refereed proceedings of the 21st International Conference on Group Decision and Negotiation, GDN 2021, which was planned to be held in Toronto, ON, Canada, during June 6–10, 2021. The conference was held virtually due to the COVID-19 pandemic.The field of Group Decision and Negotiation focuses on decision processes with at least two participants and a common goal but conflicting individual goals. Research areas of Group Decision and Negotiation include electronic negotiations, experiments, the role of emotions in group decision and negotiations, preference elicitation and decision support for group decisions and negotiations, and conflict resolution principles. The 12 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: pandemic responses; preference modeling for group decision and negotiation; conflict resolution; and collaborative decision making processes.
Contemporary Issues in Social Media Marketing: An International Perspective
by Bikramjit Rishi Subir BandyopadhyayIn a short time span, social media has transformed communication, as well as the way consumers buy, live and utilize products and services. Understanding the perspectives of both consumers and marketers can help organizations to design, develop and implement better social media marketing strategies. However, academic research on social media marketing has not kept pace with the practical applications and this has led to a critical void in social media literature. This new text expertly bridges that void. Contemporary Issues in Social Media provides the most cutting edge findings in social media marketing, through original chapters from a range of the world’s leading specialists in the area. Topics include: • The consumer journey in a social media world • Social media and customer relationship management (CRM) • Social media marketing goals and objectives • Social media and recruitment • Microblogging strategy And many more. The book is ideal for students of social media marketing, social media marketing professionals, researchers and academicians who are interested in knowing more about social media marketing. The book will also become a reference resource for those organizations which want to use social media marketing for their brands.
Contemporary Methods for Speech Parameterization (SpringerBriefs in Speech Technology)
by Todor GanchevContemporary Methods for Speech Parameterization offers a general view of short-time cepstrum-based speech parameterization and provides a common ground for further in-depth studies on the subject. Specifically, it offers a comprehensive description, comparative analysis, and empirical performance evaluation of eleven contemporary speech parameterization methods, which compute short-time cepstrum-based speech features. Among these are five discrete wavelet packet transform (DWPT)-based, six discrete Fourier transform (DFT)-based speech features and some of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main similarities and differences in their computation are discussed and empirical results from performance evaluation in common experimental conditions are presented. The recognition accuracy obtained on the monophone recognition, continuous speech recognition and speaker recognition tasks is contrasted against the one obtained for the well-known and widely used Mel Frequency Cepstral Coefficients (MFCC). It is shown that many of these methods lead to speech features that do offer competitive performance on a certain speech processing setup when compared to the venerable MFCC. The last does not target the promotion of certain speech features but instead aims to enhance the common understanding about the advantages and disadvantages of the various speech parameterization techniques available today and to provide the basis for selection of an appropriate speech parameterization in each particular case.
Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition
by Michael D. McNeese; Eduardo Salas; Mica R. EndsleyThe objective of Contemporary Research: Models, Methodologies, and Measures in Distributed Team Cognition is to advance knowledge in terms of real-world interactions among information, people, and technologies through explorations and discovery embedded within the research topics covered. Each chapter provides insight, comprehension, and differing yet cogent perspectives to topics relevant within distributed team cognition. Experts present their use of models and frameworks, different approaches to studying distributed team cognition, and new types of measures and indications of successful outcomes. The research topics presented span the continuum of interdisciplinary philosophies, ideas, and concepts that underline research investigation. Features Articulates distributed team cognition principles/constructs within studies, models, methods, and measures Utilizes experimental studies and models as cases to explore new analytical techniques and tools Provides team situation awareness measurement, mental model assessment, conceptual recurrence analysis, quantitative model evaluation, and unobtrusive measures Transforms analytical output from tools/models as a basis for design in collaborative technologies Generates an interdisciplinary approach using multiple methods of inquiry
Contemporary Research and Perspectives on Early Childhood Mathematics Education (ICME-13 Monographs)
by Iliada Elia Joanne Mulligan Ann Anderson Anna Baccaglini-Frank Christiane BenzThis book brings together a collection of research-based papers on current issues in early childhood mathematics education that were presented in the Topic Study Group 1 (TSG 1) at the 13th International Congress on Mathematical Education (ICME-13), held at the University of Hamburg in 2016. It will help readers understand a range of key issues that early childhood mathematics educators encounter today. Research on early childhood mathematics education has grown in recent years, due in part to the well-documented, positive relation between children’s early mathematical knowledge and their later mathematics learning, and to the considerable emphasis many countries are now placing on preschool education. The book addresses a number of central questions, including: What is mathematical structural development and how can we promote it in early childhood? How can multimodality and embodiment contribute to early mathematics learning and to acquiring a better understanding of young children’s mathematical development? How can children’s informal mathematics-related experiences affect instruction and children’s learning in different mathematics content areas? What is the role of tools, including technology and picture books, in supporting early mathematics learning? What are the challenges in early childhood mathematics education for teachers’ education and professional development?
Contemporary Technologies in Education: Maximizing Student Engagement, Motivation, and Learning
by A. G. Rud Olusola O. AdesopeThis edited volume provides a critical discussion of theoretical, methodological, and practical developments of contemporary forms of educational technologies. Specifically, the book discusses the use of contemporary technologies such as the Flipped Classroom (FC), Massive Open Online Course (MOOC), Social Media, Serious Educational Games (SEG), Wikis, innovative learning software tools, and learning analytic approach for making sense of big data. While some of these contemporary educational technologies have been touted as panaceas, researchers and developers have been faced with enormous challenges in enhancing the use of these technologies to arouse student attention and improve persistent motivation, engagement, and learning. Hence, the book examines how contemporary technologies can engender student motivation and result in improved engagement and learning. Each chapter also discusses the road ahead and where appropriate, uses the current trend to predict future affordances of technologies.
Contending Approaches to the Political Economy of Taiwan (Taiwan In The Modern World Ser.)
by Susan Greenhalgh Edwin A. WincklerThis work compares IT parks in China, India, Malaysia, Singapore, Taiwan, and Hawaii, in search of strategies that policy makers can employ to reduce the Global Digital Divide, advance distributional equity, and soften some of the negative effects of economic globalization.
Content (The MIT Press Essential Knowledge series)
by Kate EichhornA concise introduction to content and the content industry, from the early internet to the Instagram egg.From the time we roll out of bed to check overnight updates to our last posts, likes, and views of the previous day, we're consuming and producing content. But what does the term &“content&” even mean? When did it become ubiquitous? And at what cost? In this volume in the MIT Press Essential Knowledge series, Kate Eichhorn offers a concise introduction to content and the content industry, examining the far-reaching effects content has on culture, politics, and labor in a digital age. Eichhorn traces the evolution of our current understanding of content from the early internet to the current social mediaverse. The quintessential example of content, she says, is the Instagram egg—an image that imparted no information or knowledge and circulated simply for the sake of circulation. Eichhorn explores what differentiates user-generated content from content produced by compensated (although often undercompensated) workers; examines how fields from art and literature to journalism and politics have weathered the rise of the content industry; and investigates the increasing importance of artists&’ &“content capital&”—the ability of artists, writers, and performers to produce content not about their work but about their status as artists.
Content - The Atomic Particle of Marketing: The Definitive Guide to Content Marketing Strategy
by Rebecca LiebContent, in all its forms, is the single most critical element of any marketing campaign. Finding a successful equilibrium between content marketing and content strategy is difficult, but essential. Content - The Atomic Particle of Marketing goes beyond superficial descriptions of how to produce engaging social media content to offer the results of many years of deep quantitative research, and hours of interviews with senior marketers at some of the world's leading brands. Written by a recognised industry thought-leader, Content - The Atomic Particle of Marketing explores how content functions in the broader framework of all marketing, as well as organizational concerns and IT decision making. It demonstrates the value content brings not only to "owned" media initiatives, such as a company website or blog, but also the essential role content plays in all other marketing initiatives, from social media to advertising to offline channels. It will enable readers to make the organizational, staffing, tools and process decisions necessary to get content up and running across divisions and organizational silos. Deeply researched and insightful, Content - The Atomic Particle of Marketing is, quite simply, the definitive research-based guide to content marketing.
Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques
by Rik DasContent-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques is a comprehensive guide to research with invaluable image data. Social Science Research Network has revealed that 65% of people are visual learners. Research data provided by Hyerle (2000) has clearly shown 90% of information in the human brain is visual. Thus, it is no wonder that visual information processing in the brain is 60,000 times faster than text-based information (3M Corporation, 2001). Recently, we have witnessed a significant surge in conversing with images due to the popularity of social networking platforms. The other reason for embracing usage of image data is the mass availability of high-resolution cellphone cameras. Wide usage of image data in diversified application areas including medical science, media, sports, remote sensing, and so on, has spurred the need for further research in optimizing archival, maintenance, and retrieval of appropriate image content to leverage data-driven decision-making. This book demonstrates several techniques of image processing to represent image data in a desired format for information identification. It discusses the application of machine learning and deep learning for identifying and categorizing appropriate image data helpful in designing automated decision support systems. The book offers comprehensive coverage of the most essential topics, including: Image feature extraction with novel handcrafted techniques (traditional feature extraction) Image feature extraction with automated techniques (representation learning with CNNs) Significance of fusion-based approaches in enhancing classification accuracy MATLAB® codes for implementing the techniques Use of the Open Access data mining tool WEKA for multiple tasks The book is intended for budding researchers, technocrats, engineering students, and machine learning/deep learning enthusiasts who are willing to start their computer vision journey with content-based image recognition. The readers will get a clear picture of the essentials for transforming the image data into valuable means for insight generation. Readers will learn coding techniques necessary to propose novel mechanisms and disruptive approaches. The WEKA guide provided is beneficial for those uncomfortable coding for machine learning algorithms. The WEKA tool assists the learner in implementing machine learning algorithms with the click of a button. Thus, this book will be a stepping-stone for your machine learning journey. Please visit the author's website for any further guidance at https://www.rikdas.com/
Content-Based Image Retrieval: Ideas, Influences, and Current Trends
by Vipin TyagiThe book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.
Content-Centric Networks: An Overview, Applications and Research Challenges (SpringerBriefs in Electrical and Computer Engineering #0)
by Syed Hassan Ahmed Safdar Hussain Bouk Dongkyun KimThis book introduces Content-Centric Networking (CCN), a networking paradigm that provides a simple and effective solution to the challenging demands of future wired and wireless communications. It provides an overview of the recent developments in the area of future internet technologies, bringing together the advancements that have been made in Information-Centric Networking (ICN) in general, with a focus on CCN. It begins with an introduction to the basics of CCN is followed by an overview of the current internet paradigm and its challenges. Next, an application perspective has been included, where the authors encompass the selected applications for CCN with recent refereed research and developments. These applications include Internet of Things (IoT), Smart Grid, Vehicular Ad hoc Networks (VANETs), and Wireless Sensor Networks (WSNs). The book is a useful reference source for practising researchers, and can be used as supporting material for undergraduate and graduate level courses in computer science and electrical engineering.