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Digital Afterlife Death Matters in a Digital Age

Digital Afterlife Death Matters in a Digital Age

Despite the range of studies into grief and mourning in relation to the digital research to date largely focuses on the cultural practices and meanings that are played out in and through digital environments. Digital Afterlife brings together experts from diverse fields who share an interest in Digital Afterlife and the wide-ranging issues that relate to this. The book covers a variety of matters that have been neglected in other research texts for example: The legal ethical and philosophical conundrums of Digital Afterlife The ways digital media are currently being used to expand the possibilities of commemorating the dead and managing the grief of those left behind Our lives are shaped by and shape the creation of our Digital Afterlife as the digital has become a taken for granted aspect of human experience. This book will be of interest to undergraduates from computing theology business studies philosophy psychology sociology and education from all types of institutions. Secondary audiences include researchers and postgraduate researchers with an interest in the digital. At a practical level the cost of data storage and changing data storage systems mitigate the likelihood of our digital presence existing in perpetuity. Whether we create accidental or intentional digital memories this has psychological consequences for ourselves and for society. Essentially the foreverness of forever is in question. Maggi Savin-Baden is Professor of Higher Education Research at the University of Worcester. She has a strong publication record of over 50 research publications and 17 books. Victoria Mason-Robbie is a Chartered Psychologist and an experienced lecturer having worked in the Higher Education sector for over 15 years. Her current research focuses on evaluating web-based avatars pedagogical agents and virtual humans. | Digital Afterlife Death Matters in a Digital Age

GBP 44.99
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Digital Image Processing An Algorithmic Approach with MATLAB

Search Engine Optimization and Marketing A Recipe for Success in Digital Marketing

Search Engine Optimization and Marketing A Recipe for Success in Digital Marketing

Search Engine Optimization and Marketing: A Recipe for Success in Digital Marketing analyzes the web traffic for online promotion that includes search engine optimization and search engine marketing. After careful analysis of the nuances of the semantic web of search engine optimization (SEO) and its practical set up readers can put their best foot forward for SEO setup link-building for SERP establishment various methods with requisite algorithms and programming codes with process inferences. The book offers comprehensive coverage of essential topics including: • The concept of SEM and SEO • The mechanism of crawler program concepts of keywords • Keyword generation tools • Page ranking mechanism and indexing • Concepts of title meta alt tags • Concepts of PPC/PPM/CTR • SEO/SEM strategies • Anchor text and setting up • Query-based search While other books are focused on the traditional explanation of digital marketing theoretical features of SEO and SEM for keyword set up with link-building this book focuses on the practical applications of the above-mentioned concepts for effective SERP generation. Another unique aspect of this book is its abundance of handy workarounds to set up the techniques for SEO a topic too often neglected by other works in the field. This book is an invaluable resource for social media analytics researchers and digital marketing students. | Search Engine Optimization and Marketing A Recipe for Success in Digital Marketing

GBP 105.00
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Real-World Evidence in a Patient-Centric Digital Era

Real-World Evidence in a Patient-Centric Digital Era

Real-world evidence is defined as evidence generated from real-world data outside randomized controlled trials. As scientific discoveries and methodologies continue to advance real-world data and their companion technologies offer powerful new tools for evidence generation. Real-World Evidence in a Patient-Centric Digital Era provides perspectives examples and insights on the innovative application of real-world evidence to meet patient needs and improve healthcare with a focus on the pharmaceutical industry. This book presents an overview of key analytical issues and best practices. Special attention is paid to the development methodologies and other salient features of the statistical and data science techniques that are customarily used to generate real-world evidence. It provides a review of key topics and emerging trends in cutting-edge data science and health innovation. Features: Provides an overview of statistical and analytic methodologies in real-world evidence to generate insights on healthcare with a special focus on the pharmaceutical industry Examines timely topics of high relevance to industry such as bioethical considerations regulatory standards and compliance requirements Highlights emerging and current trends and provides guidelines for best practices Illustrates methods through examples and use-case studies to demonstrate impact Provides guidance on software choices and digital applications for successful analytics Real-World Evidence in a Patient-Centric Digital Era will be a vital reference for medical researchers health technology innovators data scientists epidemiologists population health analysts health economists outcomes researchers policymakers and analysts in the healthcare industry.

GBP 99.99
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Information Technology An Introduction for Today’s Digital World

GBP 74.99
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Combatting Cyberbullying in Digital Media with Artificial Intelligence

Combatting Cyberbullying in Digital Media with Artificial Intelligence

Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge facilitated global business enhanced collaboration and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression they also pose significant threats to our privacy. As a result we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying with instances of racism terrorism and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community particularly within the realm of social media. In this context artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research theoretical methods and novel applications in AI techniques to combat cyberbullying. Discussing new models practical solutions and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts. Key Features: Proposes new models practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying. | Combatting Cyberbullying in Digital Media with Artificial Intelligence

GBP 74.99
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Consumer Health Informatics Enabling Digital Health for Everyone

Consumer Health Informatics Enabling Digital Health for Everyone

An engaging introduction to an exciting multidisciplinary field where positive impact depends less on technology than on understanding and responding to human motivations specific information needs and life constraints. Betsy L. Humphreys former Deputy Director National Library of Medicine This is a book for people who want to design or promote information technology that helps people be more active and informed participants in their healthcare. Topics include patient portals wearable devices apps websites smart homes and online communities focused on health. Consumer Healthcare Informatics: Enabling Digital Health for Everyone educates readers in the core concepts of consumer health informatics: participatory healthcare; health and e-health literacy; user-centered design; information retrieval and trusted information resources; and the ethical dimensions of health information and communication technologies. It presents the current state of knowledge and recent developments in the field of consumer health informatics. The discussions address tailoring information to key user groups including patients consumers caregivers parents children and young adults and older adults. For example apps are considered as not just a rich consumer technology with the promise of empowered personal data management and connectedness to community and healthcare providers but also a domain rife with concerns for effectiveness privacy and security requiring both designer and user to engage in critical thinking around their choices. This book’s unique contribution to the field is its focus on the consumer and patient in the context of their everyday life outside the clinical setting. Discussion of tools and technologies is grounded in this perspective and in a context of real-world use and its implications for design. There is an emphasis on empowerment through participatory and people-centered care. | Consumer Health Informatics Enabling Digital Health for Everyone

GBP 44.99
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Real World AI Ethics for Data Scientists Practical Case Studies

Introduction to Python for Humanists

The Language of Symmetry

Quantitative Methods for Traditional Chinese Medicine Development

Quantitative Methods for Traditional Chinese Medicine Development

A Western-Based Approach to Analyzing TCMsIn recent years many pharmaceutical companies and clinical research organizations have been focusing on the development of traditional Chinese (herbal) medicines (TCMs) as alternatives to treating critical or life-threatening diseases and as pathways to personalized medicine. Quantitative Methods for Traditional Chinese Medicine Development is the first book entirely devoted to the design and analysis of TCM development from a Western perspective i. e. evidence-based clinical research and development. The book provides not only a comprehensive summary of innovative quantitative methods for developing TCMs but also a useful desk reference for principal investigators involved in personalized medicine. Written by one of the world’s most prominent biostatistics researchers the book connects the pharmaceutical industry regulatory agencies and academia. It presents a state-of-the-art examination of the subject for:Scientists and researchers who are engaged in pharmaceutical/clinical research and development of TCMsThose in regulatory agencies who make decisions in the review and approval process of TCM regulatory submissions Biostatisticians who provide statistical support to assess clinical safety and effectiveness of TCMs and related issues regarding quality control and assurance as well as to test for consistency in the manufacturing processes for TCMsThis book covers all of the statistical issues encountered at various stages of pharmaceutical/clinical development of a TCM. It explains regulatory requirements; product specifications and standards; and various statistical techniques for evaluation of TCMs validation of diagnostic procedures and testing consistency. It also contains an entire chapter of case studies and addresses critical issues in TCM development and FAQs from a

GBP 59.99
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Discrete and Continuous Fourier Transforms Analysis Applications and Fast Algorithms

Discrete and Continuous Fourier Transforms Analysis Applications and Fast Algorithms

Long employed in electrical engineering the discrete Fourier transform (DFT) is now applied in a range of fields through the use of digital computers and fast Fourier transform (FFT) algorithms. But to correctly interpret DFT results it is essential to understand the core and tools of Fourier analysis. Discrete and Continuous Fourier Transforms: Analysis Applications and Fast Algorithms presents the fundamentals of Fourier analysis and their deployment in signal processing using DFT and FFT algorithms. This accessible self-contained book provides meaningful interpretations of essential formulas in the context of applications building a solid foundation for the application of Fourier analysis in the many diverging and continuously evolving areas in digital signal processing enterprises. It comprehensively covers the DFT of windowed sequences various discrete convolution algorithms and their applications in digital filtering and filters and many FFT algorithms unified under the frameworks of mixed-radix FFTs and prime factor FFTs. A large number of graphical illustrations and worked examples help explain the concepts and relationships from the very beginning of the text. Requiring no prior knowledge of Fourier analysis or signal processing this book supplies the basis for using FFT algorithms to compute the DFT in a variety of application areas. | Discrete and Continuous Fourier Transforms Analysis Applications and Fast Algorithms

GBP 56.99
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Diffusion Processes Jump Processes and Stochastic Differential Equations

AI in and for Africa A Humanistic Perspective

AI in and for Africa A Humanistic Perspective

AI in and for Africa: A Humanistic Perspective explores the convoluted intersection of artificial intelligence (AI) with Africa’s unique socio-economic realities. This book is the first of its kind to provide a comprehensive overview of how AI is currently being deployed on the African continent. Given the existence of significant disparities in Africa related to gender race labour and power the book argues that the continent requires different AI solutions to its problems ones that are not founded on technological determinism or exclusively on the adoption of Eurocentric or Western-centric worldviews. It embraces a decolonial approach to exploring and addressing issues such as AI’s diversity crisis the absence of ethical policies around AI that are tailor-made for Africa the ever-widening digital divide and the ongoing practice of dismissing African knowledge systems in the contexts of AI research and education. Although the book suggests a number of humanistic strategies with the goal of ensuring that Africa does not appropriate AI in a manner that is skewed in favour of a privileged few it does not support the notion that the continent should simply opt for a one-size-fits-all solution either. Rather in light of Africa’s rich diversity the book embraces the need for plurality within different regions’ AI ecosystems. The book advocates that Africa-inclusive AI policies incorporate a relational ethics of care which explicitly addresses how Africa’s unique landscape is entwined in an AI ecosystem. The book also works to provide actionable AI tenets that can be incorporated into policy documents that suit Africa’s needs. This book will be of great interest to researchers students and readers who wish to critically appraise the different facets of AI in the context of Africa across many areas that run the gamut from education gender studies and linguistics to agriculture data science and economics. This book is of special appeal to scholars in disciplines including anthropology computer science philosophy and sociology to name a few. | AI in and for Africa A Humanistic Perspective

GBP 69.99
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Data Science AI and Machine Learning in Drug Development

Data Science AI and Machine Learning in Drug Development

The confluence of big data artificial intelligence (AI) and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information Data Science AI and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D emerging applications of big data AI and ML in drug development and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data AI and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise | Data Science AI and Machine Learning in Drug Development

GBP 99.99
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Introduction to Asymptotic Methods

Introduction to Asymptotic Methods

Among the theoretical methods for solving many problems of applied mathematics physics and technology asymptotic methods often provide results that lead to obtaining more effective algorithms of numerical evaluation. Presenting the mathematical methods of perturbation theory Introduction to Asymptotic Methods reviews the most important methods of singular perturbations within the scope of application of differential equations. The authors take a challenging and original approach based on the integrated mathematical-analytical treatment of various objects taken from interdisciplinary fields of mechanics physics and applied mathematics. This new hybrid approach will lead to results that cannot be obtained by standard theories in the field. Emphasizing fundamental elements of the mathematical modeling process the book provides comprehensive coverage of asymptotic approaches regular and singular perturbations one-dimensional non-stationary non-linear waves Padé approximations oscillators with negative Duffing type stiffness and differential equations with discontinuous nonlinearities. The book also offers a method of construction for canonical variables transformation in parametric form along with a number of examples and applications. The book is applications oriented and features results and literature citations that have not been seen in the Western Scientific Community. The authors emphasize the dynamics of the development of perturbation methods and present the development of ideas associated with this wide field of research.

GBP 59.99
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Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning Entropy Randomization in Machine Learning considers several applications to binary classification modelling the dynamics of the Earth’s population predicting seasonal electric load fluctuations of power supply systems and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing through structuring randomized models and algorithmic procedure to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning researchers and engineers involved in the development of applied machine learning systems and researchers of forecasting problems in various fields.

GBP 82.99
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The Role of Sustainability and Artificial Intelligence in Education Improvement

The Role of Sustainability and Artificial Intelligence in Education Improvement

This book is devoted to the issues faced by universities in the field of distance learning during and after COVID as well as in digitalization times. The book devotes a lot of space to the issues of Web 3. 0 in university e-learning Industry 4. 0 artificial intelligence and digital equity. The aim and scope of this book is to draw a holistic picture of education before and after COVID the psychological effects of COVID in education and using modern technologies application in education taking into consideration aspects of sustainability development Industry 4. 0 and Society 5. 0. The authors also raise the issue of artificial intelligence investigation in learner-instructor interaction. Features: To elaborate the functions of online education and numerous pedagogical strategies based on electronic learning to aid teachers and students with the tools required to succeed in the 21st century via engaging virtual experiences To analyze tools provided by Ed-Tech firms and the effect of digital tools on maintaining the educational process in times of crisis and after pandemic To create a roadmap for higher education institutions and provide tips regarding how to improve the effectiveness of the hybrid learning system To understand e-learning characteristic in the era of Industry 4. 0 and Society 5. 0 and characteristics of the different web generations To use AI applications to improve connections and relationships between students and teachers and in education in the future The book is both scientific and educational. It can be used at the university level and by anyone interested in the topics it covers. | The Role of Sustainability and Artificial Intelligence in Education Improvement

GBP 110.00
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From Computing to Computational Thinking

Image and Video Compression Fundamentals Techniques and Applications

The Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective

Emerging Technologies in Computing Theory Practice and Advances

Image Processing for Cinema

Intelligent Systems in Healthcare and Disease Identification using Data Science

Intelligent Systems in Healthcare and Disease Identification using Data Science

The health technology has become a hot topic in academic research. It employs the theory of social networks into the different levels of the prediction and analysis and has brought new possibilities for the development of technology. This book is a descriptive summary of challenges and methods using disease identification with various case studies from diverse authors across the globe. One of the new buzzwords in healthcare sector that has become popular over years is health informatics. Healthcare professionals must deal with an increasing number of computers and computer programs in their daily work. With rapid growth of digital data the role of analytics in healthcare has created a significant impact on healthcare professional’s life. Improvements in storage data computational power and paral- lelization has also contributed to uptake this technology. This book is intended for use by researchers health informatics professionals academicians and undergraduate and postgraduate students interested in knowing more about health informatics. It aims to provide a brief overview about informatics its history and area of practice laws in health informatics challenges and technologies in health informatics applica- tion of informatics in various sectors and so on. Finally the research avenues in health informatics along with some case studies are discussed. | Intelligent Systems in Healthcare and Disease Identification using Data Science

GBP 84.99
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