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Medical Imaging (Hardcover)
H. S. Sanjay, M. Niranjanamurthy
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R4,739
R4,339
Discovery Miles 43 390
Save R400 (8%)
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MEDICAL IMAGING Written and edited by a team of experts in the
field, this is the most comprehensive and up-to-date study of and
reference for the practical applications of medical imaging for
engineers, scientists, students, and medical professionals. Medical
imaging is one of the most important diagnostic tools in
healthcare. More than 50% of the clinical market depends on
diagnostic imaging to identify different pathological conditions in
subjects. It is, therefore, essential for healthcare personnel and
paramedical staff as well as the technicians and the supporting
engineers to understand the basics of medical imaging. This subject
is of utmost importance to every individual involved in the
healthcare industry, right from research and development until
application and service. Medical Imaging presents the salient
aspects of diagnostic imaging modalities. The subjects that are
covered are the basic functional principles, the concepts involved,
the instrumentation-based aspects, applications, and the latest
trends in imaging modalities. This book concentrates on X-rays
imaging, computer tomography-based imaging, ultrasound techniques,
radionuclide imaging, MRI techniques, and other important
diagnostic modalities which are commonly used for medical diagnosis
of various pathologies in human beings. Covering all of the latest
advances, innovations, and developments in practical applications
for medical imaging, this volume represents the most comprehensive,
up-to-date coverage of the issues of the day and state of the art.
Whether for the veteran engineer or scientist or a student, this
volume is a must-have for any library.
MATHEMATICS AND COMPUTER SCIENCE This first volume in a new
multi-volume set gives readers the basic concepts and applications
for diverse ideas and innovations in the field of computing
together with its growing interactions with mathematics. This new
edited volume from Wiley-Scrivener is the first of its kind to
present scientific and technological innovations by leading
academicians, eminent researchers, and experts around the world in
the areas of mathematical sciences and computing. The chapters
focus on recent advances in computer science, and mathematics, and
where the two intersect to create value for end users through
practical applications of the theory. The chapters herein cover
scientific advancements across a diversified spectrum that includes
differential as well as integral equations with applications,
computational fluid dynamics, nanofluids, network theory and
optimization, control theory, machine learning and artificial
intelligence, big data analytics, Internet of Things, cryptography,
fuzzy automata, statistics, and many more. Readers of this book
will get access to diverse ideas and innovations in the field of
computing together with its growing interactions in various fields
of mathematics. Whether for the engineer, scientist, student,
academic, or other industry professional, this is a must-have for
any library.
Discusses edge data storage security with case studies and
blockchain integration with edge computing system. Covers
theoretical methods with the help of applications, use cases, case
studies, and examples. Provides healthcare real-time case studies
are elaborated in detailed by utilizing the virtues of homomorphic
encryption. Discusses real-time interfaces, devices, and simulators
in detail.
This reference text discusses various security techniques and
challenges for cloud data protection from both software and
hardware aspects. The text provides readers with an overview of
cloud computing, beginning with historical perspectives on
mainframe computers and early networking protocols, moving to
current issues such as security of hardware and networks,
performance, evolving IoT areas, edge computing, etc. It also deals
with threat detection and incident response in cloud security. It
covers important topics including operational security agitations
in cloud computing, cyber artificial intelligence (AI) platform for
cloud security, and security concerns of virtualization in cloud
computing. The book will serve as a useful resource for graduate
students and professionals in the fields of electrical engineering,
electronics engineering, computer science, and information
technology.
This book presents intelligent data analysis as a tool to fight
against COVID-19 pandemic. The intelligent data analysis includes
machine learning, natural language processing, and computer vision
applications to teach computers to use big data-based models for
pattern recognition, explanation, and prediction. These functions
are discussed in detail in the book to recognize (diagnose),
predict, and explain (treat) COVID-19 infections, and help manage
socio-economic impacts. It also discusses primary warnings and
alerts; tracking and prediction; data dashboards; diagnosis and
prognosis; treatments and cures; and social control by the use of
intelligent data analysis. It provides analysis reports, solutions
using real-time data, and solution through web applications
details.
DATA WRANGLING Written and edited by some of the world’s top
experts in the field, this exciting new volume provides
state-of-the-art research and latest technological breakthroughs in
data wrangling, its theoretical concepts, practical applications,
and tools for solving everyday problems. Data wrangling is the
process of cleaning and unifying messy and complex data sets for
easy access and analysis. This process typically includes manually
converting and mapping data from one raw form into another format
to allow for more convenient consumption and organization of the
data. Data wrangling is increasingly ubiquitous at today’s top
firms. Data cleaning focuses on removing inaccurate data from your
data set whereas data wrangling focuses on transforming the
data’s format, typically by converting “raw” data into
another format more suitable for use. Data wrangling is a necessary
component of any business. Data wrangling solutions are
specifically designed and architected to handle diverse, complex
data at any scale, including many applications, such as Datameer,
Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta. This book
synthesizes the processes of data wrangling into a comprehensive
overview, with a strong focus on recent and rapidly evolving agile
analytic processes in data-driven enterprises, for businesses and
other enterprises to use to find solutions for their everyday
problems and practical applications. Whether for the veteran
engineer, scientist, or other industry professional, this book is a
must have for any library.
MATHEMATICS AND COMPUTER SCIENCE This second volume in a new
multi-volume set builds on the basic concepts and fundamentals laid
out in the previous volume, presenting the reader with more
advanced and cutting-edge topics being developed in this exciting
field. This second volume in a new series from Wiley-Scrivener is
the first of its kind to present scientific and technological
innovations by leading academicians, eminent researchers, and
experts around the world in the areas of mathematical sciences and
computing. Building on what was presented in volume one, the
chapters focus on more advanced topics in computer science,
mathematics, and where the two intersect to create value for end
users through practical applications. The chapters herein cover
scientific advancements across a diversified spectrum that includes
differential as well as integral equations with applications,
computational fluid dynamics, nanofluids, network theory and
optimization, control theory, machine learning and artificial
intelligence, big data analytics, Internet of Things, cryptography,
fuzzy automata, statistics, and many more. Readers of this book
will get access to diverse ideas and innovations in the field of
computing together with its growing interactions in various fields
of mathematics. Whether for the engineer, scientist, student,
academic, or other industry professional, this is a must-have for
any library.
This book presents intelligent data analysis as a tool to fight
against COVID-19 pandemic. The intelligent data analysis includes
machine learning, natural language processing, and computer vision
applications to teach computers to use big data-based models for
pattern recognition, explanation, and prediction. These functions
are discussed in detail in the book to recognize (diagnose),
predict, and explain (treat) COVID-19 infections, and help manage
socio-economic impacts. It also discusses primary warnings and
alerts; tracking and prediction; data dashboards; diagnosis and
prognosis; treatments and cures; and social control by the use of
intelligent data analysis. It provides analysis reports, solutions
using real-time data, and solution through web applications
details.
Covering a broad range of topics in wireless communication security
and its solutions, this outstanding new volume is of great interest
to engineers, scientists, and students from a variety of
backgrounds and interests, thereby allowing considerable
flexibility in making up the course material for researchers and
academicians. Focusing on providing the theory of wireless
communication within the framework of its practical applications,
the contributors take on a wealth of topics, integrating seemingly
diverse areas under one cover. Wireless Communication Security has
been divided into five units. The first unit presents the different
protocols and standards for developing a real-time wireless
communication security. The second unit presents different widely
accepted networks, which are the core of wireless communication
security. Unit three presents the various device and network
controlling methodologies. Unit 4 presents the various high
performance and computationally efficient algorithms for efficient
and scalable implementation of network protocols, and the last unit
presents the leading innovations and variety of usage of wireless
communication security. Valuable as a learning tool for beginners
in this area as well as a daily reference for engineers and
scientists working in these areas, this is a must-have for any
library.
This book presents the emerging technologies of Industry 4.0. It
describes the growing trend towards automation and data exchange in
the manufacturing industry, with a focus on the internet of things
(IoT), the industrial internet of things (IIoT), cyberphysical
systems (CPS), smart factories, cloud computing, cognitive
computing, and artificial intelligence.
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