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Books > Computing & IT > General theory of computing
"What information do these data reveal?" "Is the information
correct?" "How can I make the best use of the information?" The
widespread use of computers and our reliance on the data generated
by them have made these questions increasingly common and
important. Computerized data may be in either digital or analog
form and may be relevant to a wide range of applications that
include medical monitoring and diagnosis, scientific research,
engineering, quality control, seismology, meteorology, political
and economic analysis and business and personal financial
applications. The sources of the data may be databases that have
been developed for specific purposes or may be of more general
interest and include those that are accessible on the Internet. In
addition, the data may represent either single or multiple
parameters. Examining data in its initial form is often very
laborious and also makes it possible to "miss the forest for the
trees" by failing to notice patterns in the data that are not
readily apparent. To address these problems, this monograph
describes several accurate and efficient methods for displaying,
reviewing and analyzing digital and analog data. The methods may be
used either singly or in various combinations to maximize the value
of the data to those for whom it is relevant. None of the methods
requires special devices and each can be used on common platforms
such as personal computers, tablets and smart phones. Also, each of
the methods can be easily employed utilizing widely available
off-the-shelf software. Using the methods does not require special
expertise in computer science or technology, graphical design or
statistical analysis. The usefulness and accuracy of all the
described methods of data display, review and interpretation have
been confirmed in multiple carefully performed studies using
independent, objective endpoints. These studies and their results
are described in the monograph. Because of their ease of use,
accuracy and efficiency, the methods for displaying, reviewing and
analyzing data described in this monograph can be highly useful to
all who must work with computerized information and make decisions
based upon it.
With the growing use of new technologies and artificial
intelligence (AI) applications, intelligent systems can be used to
manage large amounts of existing data in healthcare domains. Having
more intelligent methods for accessing data allows medical
professionals to more efficiently identify the best medical
practices and more concrete solutions for diagnosing and treating a
multitude of rare diseases. Intelligent Systems for Healthcare
Management and Delivery provides relevant and advanced
methodological, technological, and scientific approaches related to
the application of sophisticated exploitation of AI, as well as
providing insight into the technologies and intelligent
applications that have received growing attention in recent years
such as medical imaging, EMR systems, and drug development
assistance. This publication fosters a scientific debate for new
healthcare intelligent systems and sophisticated approaches for
enhanced healthcare services and is ideally designed for medical
professionals, hospital staff, rehabilitation specialists, medical
educators, and researchers.
While doctors and physicians are more than capable of detecting
diseases of the brain, the most agile human mind cannot compete
with the processing power of modern technology. Utilizing
algorithmic systems in healthcare in this way may provide a way to
treat neurological diseases before they happen. Early Detection of
Neurological Disorders Using Machine Learning Systems provides
innovative insights into implementing smart systems to detect
neurological diseases at a faster rate than by normal means. The
topics included in this book are artificial intelligence, data
analysis, and biomedical informatics. It is designed for
clinicians, doctors, neurologists, physiotherapists,
neurorehabilitation specialists, scholars, academics, and students
interested in topics centered on biomedical engineering,
bio-electronics, medical electronics, physiology, neurosciences,
life sciences, and physics.
Hidden semi-Markov models (HSMMs) are among the most important
models in the area of artificial intelligence / machine learning.
Since the first HSMM was introduced in 1980 for machine recognition
of speech, three other HSMMs have been proposed, with various
definitions of duration and observation distributions. Those models
have different expressions, algorithms, computational complexities,
and applicable areas, without explicitly interchangeable forms.
Hidden Semi-Markov Models: Theory, Algorithms and Applications
provides a unified and foundational approach to HSMMs, including
various HSMMs (such as the explicit duration, variable transition,
and residential time of HSMMs), inference and estimation
algorithms, implementation methods and application instances. Learn
new developments and state-of-the-art emerging topics as they
relate to HSMMs, presented with examples drawn from medicine,
engineering and computer science.
Text analysis tools aid in extracting meaning from digital content.
As digital text becomes more and more complex, new techniques are
needed to understand conceptual structure. Concept Parsing
Algorithms (CPA) for Textual Analysis and Discovery: Emerging
Research and Opportunities provides an innovative perspective on
the application of algorithmic tools to study unstructured digital
content. Highlighting pertinent topics such as semantic tools,
semiotic systems, and pattern detection, this book is ideally
designed for researchers, academics, students, professionals, and
practitioners interested in developing a better understanding of
digital text analysis.
RPG Programming at its best! Discover A Book That Tells You What
You Should Do and How! Instead of jumping right into the
instructions, this book will provide you first with all the
necessary concepts that you need to learn in order to make the
learning process a whole lot easier. This way, you're sure not to
get lost in confusion once you get to the more complex lessons
provided in the latter chapters. Graphs and flowcharts, as well as
sample codes, are provided for a more visual approach on your
learning You will also learn the designs and forms of Parallel, and
what's more convenient than getting to know both sides! Want to
know More? Buy Now
Communities of Computing is the first book-length history of the
Association for Computing Machinery (ACM), founded in 1947 and with
a membership today of 100,000 worldwide. It profiles ACM's notable
SIGs, active chapters, and individual members, setting ACM's
history into a rich social and political context. The book's 12
core chapters are organized into three thematic sections. "Defining
the Discipline" examines the 1960s and 1970s when the field of
computer science was taking form at the National Science
Foundation, Stanford University, and through ACM's notable efforts
in education and curriculum standards. "Broadening the Profession"
looks outward into the wider society as ACM engaged with social and
political issues - and as members struggled with balancing a focus
on scientific issues and awareness of the wider world. Chapters
examine the social turbulence surrounding the Vietnam War, debates
about the women's movement, efforts for computing and community
education, and international issues including professionalization
and the Cold War. "Expanding Research Frontiers" profiles three
areas of research activity where ACM members and ACM itself shaped
notable advances in computing, including computer graphics,
computer security, and hypertext. Featuring insightful profiles of
notable ACM leaders, such as Edmund Berkeley, George Forsythe, Jean
Sammet, Peter Denning, and Kelly Gotlieb, and honest assessments of
controversial episodes, the volume deals with compelling and
complex issues involving ACM and computing. It is not a narrow
organizational history of ACM committees and SIGS, although much
information about them is given. All chapters are original works of
research. Many chapters draw on archival records of ACM's
headquarters, ACM SIGs, and ACM leaders. This volume makes a
permanent contribution to documenting the history of ACM and
understanding its central role in the history of computing.
Modern computing systems preserve all information in intricate
binary codes. The evolution of systems and technologies that aid in
this preservation process must be continually assessed to ensure
that they are keeping up with the demands of society. Formation
Methods, Models, and Hardware Implementation of Pseudorandom Number
Generators: Emerging Research and Opportunities is a crucial
scholarly resource that examines the current methodologies used in
number generator construction, and how they pertain to the overall
advancement of contemporary computer systems. Featuring coverage on
relevant topics such as cellular automata theory, inhomogeneous
cells, and sequence generators, this publication is ideal for
software engineers, computer programmers, academicians, students,
and researchers that are interested in staying abreast of
innovative trends within the computer engineering field.
Rails Programming Professional Made Easy: Expert Rails Programming
Success In A Day For Any Computer User! Want to become an expert in
rails programming but find all the technical jargon challenging?
Need a reference guide that walks you through step by step and
skips all the challenging technical intimidating data In a hurry
and need to learn fast? Want to know where to start to begin
creating your first project? Step by step details on creating all
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click download now to begin your success in learning Rails in a
single day! Purchase now!
With the growth and advancement of business and industry, there is
a growing need for the advancement of the strategies that manage
these modernizations. Adaptation to advancement is essential for
the success of these organizations and using the proper methods to
accomplish this essential adaptation is paramount. Organizational
Transformation and Managing Innovation in the Fourth Industrial
Revolution provides innovative insights into the management of
advancements and the implementation of strategies to accommodate
these changes. The content within this publication examines social
engagement, cyber-journalism, and educational innovation. It is
designed for managers, consultants, academicians, researchers, and
professionals, and covers topics centered on the growth of
businesses and how they change alongside the economy and
infrastructure.
Since its first volume in 1960, Advances in Computers has presented
detailed coverage of innovations in computer hardware, software,
theory, design, and applications. It has also provided contributors
with a medium in which they can explore their subjects in greater
depth and breadth than journal articles usually allow. As a result,
many articles have become standard references that continue to be
of significant, lasting value in this rapidly expanding field.
A variety of applications have been developed in order to engage
with society. These tools have enabled computer scientists to
captured large sets of unstructured data for machine learning and
make the information widely available in academia. Techniques for
Coding Imagery and Multimedia: Emerging Research and Opportunities
is a pivotal reference source featuring the latest scholarly
research on ways researchers code imagery and multimedia for
research purposes, as well as describe some of the applied methods
for research value. Including coverage on a wide variety of topics
such as linguistic analysis, gender communication, and mass
surveillance, this book is an important resource for researchers,
academics, graduate students, and professionals seeking current
research on best ways to globally expand multimedia research and
imagery.
'Rana el Kaliouby's vision for how technology should work in
parallel with empathy is bold, inspired and hopeful' Arianna
Huffington, founder and CEO of Thrive Global 'This lucid and
captivating book by a renowned pioneer of emotion-AI tackles one of
the most pressing issues of our time: How can we ensure a future
where this technology empowers rather than surveils and manipulates
us?' Max Tegmark, professor of physics at Massachusetts Institute
of Technology and author of Life 3.0 We are entering an empathy
crisis. Most of our communication is conveyed through non-verbal
cues - facial expressions, tone of voice, body language - nuances
that are completely lost when we interact through our smartphones
and other technology. The result is a digital universe that's
emotion-blind - a society lacking in empathy. Rana el Kaliouby
discovered this when she left Cairo, a newly-married, Muslim woman,
to take up her place at Cambridge University to study computer
science. Many thousands of miles from home, she began to develop
systems to help her better connect with her family. She started to
pioneer the new field of Emotional Intelligence (EI). She now runs
her company, Affectiva (the industry-leader in this emerging field)
that builds EI into our technology and develops systems that
understand humans the way we understand one another. In a
captivating memoir, Girl Decoded chronicles el Kaliouby's mission
to humanise technology and what she learns about humanity along the
way.
This book introduces the properties of conservative extensions of
First Order Logic (FOL) to new Intensional First Order Logic
(IFOL). This extension allows for intensional semantics to be used
for concepts, thus affording new and more intelligent IT systems.
Insofar as it is conservative, it preserves software applications
and constitutes a fundamental advance relative to the current RDB
databases, Big Data with NewSQL, Constraint databases, P2P systems,
and Semantic Web applications. Moreover, the many-valued version of
IFOL can support the AI applications based on many-valued logics.
Security video surveillance systems, such as homeland security and
national defence, rely on specific mathematical algorithms in order
to run effectively. It is essential for these parameters to be
understood in order to design and create a successful system. Video
Surveillance Techniques and Technologies presents empirical
research and acquired experience on the original solutions and
mathematical algorithms for motion detection and object
identification problems. Emphasising a wide variety of applications
of security systems, this book is an essential tool for graduate
students and professionals in the field of signal and image
processing applied in static/moving object detection, tracking, and
identification.
The rapid advancements in telecommunications, computing hardware
and software, and data encryption, and the widespread use of
electronic data processing and electronic business conducted
through the Internet have led to a strong increase in information
security threats. The latest advances in information security have
increased practical deployments and scalability across a wide range
of applications to better secure and protect our information
systems and the information stored, processed and transmitted. This
book outlines key emerging trends in information security from the
foundations and technologies in biometrics, cybersecurity, and big
data security to applications in hardware and embedded systems
security, computer forensics, the Internet of Things security, and
network security. Information Security: Foundations, technologies
and applications is a comprehensive review of cutting-edge
algorithms, technologies, and applications, and provides new
insights into a range of fundamentally important topics in the
field. This up-to-date body of knowledge is essential reading for
researchers and advanced students in information security, and for
professionals in sectors where information security is required.
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