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Books > Computing & IT
There has been a multitude of studies focused on the COVID-19
pandemic across fields and disciplines as all sectors of life have
had to adjust the way things are done and adapt to the constantly
shifting environment. These studies are crucial as they provide
support and perspectives on how things are changing and what needs
to be done to stay afloat. Connecting COVID-19-related studies and
big data analytics is crucial for the advancement of industrial
applications and research areas. Applied Big Data Analytics and Its
Role in COVID-19 Research introduces the most recent industrial
applications and research topics on COVID-19 with big data
analytics. Featuring coverage on a broad range of big data
technologies such as data gathering, artificial intelligence, smart
diagnostics, and mining mobility, this publication provides
concrete examples and cases of usage of data-driven projects in
COVID-19 research. This reference work is a vital resource for data
scientists, technical managers, researchers, scholars,
practitioners, academicians, instructors, and students.
Whether you are a beginner or experienced user, learn about new
features in this version or discover and use some of Word's
functions for the first time. Joan Lambert, author of multiple
books on the Microsoft Office Suite, creator of many Lynda.com
videos and an experienced corporate trainer used her experience and
knowledge to cover the most relevant functions for users at
different levels. Suggested uses: Workplace -- flat for easy
storage and access at a moments notice to find a function you need
to use, or to jog your memory for a function you do not use often;
Company Training -- reduce help-desk calls and keep productivity
flowing for a team or for your entire company;
Students/Teachers/Parents -- help with the learning curve in a
classroom or for your child and any projects requiring Word;
College Students -- make sure you are using features that can make
your life easier.
Developing nations have seen many technological advances in the
last decade. Although beneficial and progressive, they can lead to
unsafe mobile devices, system networks, and internet of things
(IoT) devices, causing security vulnerabilities that can have
ripple effects throughout society. While researchers attempt to
find solutions, improper implementation and negative uses of
technology continue to create new security threats to users.
Cybersecurity Capabilities in Developing Nations and Its Impact on
Global Security brings together research-based chapters and case
studies on systems security techniques and current methods to
identify and overcome technological vulnerabilities, emphasizing
security issues in developing nations. Focusing on topics such as
data privacy and security issues, this book is an essential
reference source for researchers, university academics, computing
professionals, and upper-level students in developing countries
interested in the techniques, laws, and training initiatives
currently being implemented and adapted for secure computing.
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Data Analytics on Graphs
(Hardcover)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, …
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R3,426
Discovery Miles 34 260
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Ships in 10 - 15 working days
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The current availability of powerful computers and huge data sets
is creating new opportunities in computational mathematics to bring
together concepts and tools from graph theory, machine learning and
signal processing, creating Data Analytics on Graphs. In discrete
mathematics, a graph is merely a collection of points (nodes) and
lines connecting some or all of them. The power of such graphs lies
in the fact that the nodes can represent entities as diverse as the
users of social networks or financial market data, and that these
can be transformed into signals which can be analyzed using data
analytics tools. Data Analytics on Graphs is a comprehensive
introduction to generating advanced data analytics on graphs that
allows us to move beyond the standard regular sampling in time and
space to facilitate modelling in many important areas, including
communication networks, computer science, linguistics, social
sciences, biology, physics, chemistry, transport, town planning,
financial systems, personal health and many others. The authors
revisit graph topologies from a modern data analytics point of
view, and proceed to establish a taxonomy of graph networks. With
this as a basis, the authors show how the spectral analysis of
graphs leads to even the most challenging machine learning tasks,
such as clustering, being performed in an intuitive and physically
meaningful way. The authors detail unique aspects of graph data
analytics, such as their benefits for processing data acquired on
irregular domains, their ability to finely-tune statistical
learning procedures through local information processing, the
concepts of random signals on graphs and graph shifts, learning of
graph topology from data observed on graphs, and confluence with
deep neural networks, multi-way tensor networks and Big Data.
Extensive examples are included to render the concepts more
concrete and to facilitate a greater understanding of the
underlying principles. Aimed at readers with a good grasp of the
fundamentals of data analytics, this book sets out the fundamentals
of graph theory and the emerging mathematical techniques for the
analysis of a wide range of data acquired on graph environments.
Data Analytics on Graphs will be a useful friend and a helpful
companion to all involved in data gathering and analysis
irrespective of area of application.
Based on years of research and 121 real-life first dates,
relationship expert Wendy Newman dishes up practical wisdom for
navigating the online dating trenches with grace, efficiency, and a
strong dose of humour. Wendy Newman has made every imaginable
dating mistake so you don't have to. Part guidebook, part personal
tell-all, 121 First Dates chronicles Wendy's funny, real-life
misadventures and the practical wisdom she gained from them. Her
dating tales will find you laughing, commiserating, and nodding
your head as you learn how to stay in the dating game until you
find the right man, just like Wendy did. This book busts myths,
answers age-old questions, and examines pitfalls that make you want
to give up on dating altogether. Just when you're about to submit
to a lifetime at home with a pint of Haagen-Dazs and sitcom reruns,
121 First Dates will inspire you to keep stepping out. Wendy
discusses how to date successfully and efficiently, avoid the most
common dating pitfalls, have an amazing first date with anyone, end
uncomfortable situations with grace, and much, much more. She
offers up realistic Dos and Don'ts as well as tips for making the
most of any situation you find yourself in-whether you want to run
or you think he's the one. Brimming with humour, hope, and
authenticity, 121 First Dates will give every woman the tools,
confidence, and determination to be and stay real when dating. How
else will you find the best match for you?
'For all those who want their audiences to listen and understand'
JEREMY BOWEN | 'Precision, deftness and a calming expertise' THE
TIMES Do you worry about holding people's attention during
presentations? Are you unsure where to start when faced with
writing an essay or report? Are you preparing for an interview and
wondering how to get all your points across? Explanation -
identifying and communicating what we want to say - is an art. And
the BBC presenter and journalist Ros Atkins, creator of the viral
'Ros Atkins on...' explainer videos, is something of a master of
the form. In this book, Ros shares the secrets he has learned from
years of working in high-pressure newsrooms, identifying the ten
elements of a good explanation and the seven steps you need to take
to express yourself with clarity and impact. Whether at work,
school, university or home, we all benefit from being able to
articulate ourselves clearly. Filled with practical examples, The
Art of Explanation is a must-read for anyone who wants to sharpen
their communication skills.
Industrial Tomography: Systems and Applications, Second Edition
thoroughly explores the important techniques of industrial
tomography, also discusses image reconstruction, systems, and
applications. This book presents complex processes, including the
way three-dimensional imaging is used to create multiple
cross-sections, and how computer software helps monitor flows,
filtering, mixing, drying processes, and chemical reactions inside
vessels and pipelines. This book is suitable for materials
scientists and engineers and applied physicists working in the
photonics and optoelectronics industry or in the applications
industries.
Advances in Computers, Volume 127 presents innovations in computer
hardware, software, theory, design and applications, with this
updated volume including new chapters on Edge AI, Edge Computing,
Edge Analytics, Edge Data Analytics, Edge Native Applications, Edge
Platforms, Edge Computing, IoT, Internet of Things, etc.
Explainable artificial intelligence is proficient in operating and
analyzing the unconstrainted environment in fields like robotic
medicine, robotic treatment, and robotic surgery, which rely on
computational vision for analyzing complex situations. Explainable
artificial intelligence is a well-structured customizable
technology that makes it possible to generate promising unbiased
outcomes. The model's adaptability facilitates the management of
heterogeneous healthcare data and the visualization of biological
structures through virtual reality. Explainable artificial
intelligence has newfound applications in the healthcare industry,
such as clinical trial matching, continuous healthcare monitoring,
probabilistic evolutions, and evidence-based mechanisms. Principles
and Methods of Explainable Artificial Intelligence in Healthcare
discusses explainable artificial intelligence and its applications
in healthcare, providing a broad overview of state-of-the-art
approaches for accurate analysis and diagnosis. The book also
encompasses computational vision processing techniques that handle
complex data like physiological information, electronic healthcare
records, and medical imaging data that assist in earlier
prediction. Covering topics such as neural networks and disease
detection, this reference work is ideal for industry professionals,
practitioners, academicians, researchers, scholars, instructors,
and students.
Synthesis and Operability Strategies for Computer-Aided Modular
Process intensification presents state-of-the-art methodological
developments and real-world applications for computer-aided process
modeling, optimization and control, with a particular interest on
process intensification systems. Each chapter consists of basic
principles, model formulation, solution algorithm, and step-by-step
implementation guidance on key procedures. Sections cover an
overview on the current status of process intensification
technologies, including challenges and opportunities, detail
process synthesis, design and optimization, the operation of
intensified processes under uncertainty, and the integration of
design, operability and control. Advanced operability analysis,
inherent safety analysis, and model-based control strategies
developed in the community of process systems engineering are also
introduced to assess process operational performance at the early
design stage.
From climate change forecasts and pandemic maps to Lego sets and
Ancestry algorithms, models encompass our world and our lives. In
her thought-provoking new book, Annabel Wharton begins with a
definition drawn from the quantitative sciences and the philosophy
of science but holds that history and critical cultural theory are
essential to a fuller understanding of modeling. Considering
changes in the medical body model and the architectural model, from
the Middle Ages to the twenty-first century, Wharton demonstrates
the ways in which all models are historical and political.
Examining how cadavers have been described, exhibited, and visually
rendered, she highlights the historical dimension of the modified
body and its depictions. Analyzing the varied reworkings of the
Holy Sepulchre in Jerusalem-including by monumental commanderies of
the Knights Templar, Alberti's Rucellai Tomb in Florence,
Franciscans' olive wood replicas, and video game renderings-she
foregrounds the political force of architectural representations.
And considering black boxes-instruments whose inputs we control and
whose outputs we interpret, but whose inner workings are beyond our
comprehension-she surveys the threats posed by such opaque
computational models, warning of the dangers that models pose when
humans lose control of the means by which they are generated and
understood. Engaging and wide-ranging, Models and World Making
conjures new ways of seeing and critically evaluating how we make
and remake the world in which we live.
Weather forecasting and climate behavioral analysis have
traditionally been done using complicated physics models and
accompanying atmospheric variables. However, the traditional
approaches lack common tools, which can lead to incomplete
information about the weather and climate conditions, in turn
affecting the prediction accuracy rate. To address these problems,
the advanced technological aspects through the spectrum of
artificial intelligence of things (AIoT) models serve as a budding
solution. Further study on artificial intelligence of things and
how it can be utilized to improve weather forecasting and climatic
behavioral analysis is crucial to appropriately employ the
technology. Artificial Intelligence of Things for Weather
Forecasting and Climatic Behavioral Analysis discusses practical
applications of artificial intelligence of things for
interpretation of weather patterns and how weather information can
be used to make critical decisions about harvesting, aviation, etc.
This book also considers artificial intelligence of things issues
such as managing natural disasters that impact the lives of
millions. Covering topics such as deep learning, remote sensing,
and meteorological applications, this reference work is ideal for
data scientists, industry professionals, researchers, academicians,
scholars, practitioners, instructors, and students.
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