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Books > Computing & IT
Artificial Intelligence for Future Generation Robotics offers a
vision for potential future robotics applications for AI
technologies. Each chapter includes theory and mathematics to
stimulate novel research directions based on the state-of-the-art
in AI and smart robotics. Organized by application into ten
chapters, this book offers a practical tool for researchers and
engineers looking for new avenues and use-cases that combine AI
with smart robotics. As we witness exponential growth in automation
and the rapid advancement of underpinning technologies, such as
ubiquitous computing, sensing, intelligent data processing, mobile
computing and context aware applications, this book is an ideal
resource for future innovation.
Advanced computational intelligence techniques have been designed
and developed in recent years to cope with various big data
challenges and provide fast and efficient analytics that assist in
making critical decisions. With the rapid evolution and development
of internet-based services and applications, this technology is
receiving attention from researchers, industries, and academic
communities and requires additional study. Convergence of Big Data
Technologies and Computational Intelligent Techniques considers
recent advancements in big data and computational intelligence
across fields and disciplines and discusses the various
opportunities and challenges of adoption. Covering topics such as
deep learning, data mining, smart environments, and
high-performance computing, this reference work is crucial for
computer scientists, engineers, industry professionals,
researchers, scholars, practitioners, academicians, instructors,
and students.
100 Go Mistakes: How to Avoid Them introduces dozens of techniques
for writing idiomatic, expressive, and efficient Go code that
avoids common pitfalls. By reviewing dozens of interesting,
readable examples and real-world case studies, you'll explore
mistakes that even experienced Go programmers make. This book is
focused on pure Go code, with standards you can apply to any kind
of project. As you go, you'll navigate the tricky bits of handling
JSON data and HTTP services, discover best practices for Go code
organization, and learn how to use slices efficiently. Your code
speed and quality will enjoy a huge boost when you improve your
concurrency skills, deal with error management idiomatically, and
increase the quality of your tests. About the Technology Go is
simple to learn, yet hard to master. Even experienced Go developers
may end up introducing bugs and inefficiencies into their code.
This book accelerates your understanding of Go's quirks, helping
you correct mistakes and dodge pitfalls on your path to Go mastery.
Developing new approaches and reliable enabling technologies in the
healthcare industry is needed to enhance our overall quality of
life and lead to a healthier, innovative, and secure society.
Further study is required to ensure these current technologies,
such as big data analytics and artificial intelligence, are
utilized to their utmost potential and are appropriately applied to
advance society. Big Data Analytics and Artificial Intelligence in
the Healthcare Industry discusses technologies and emerging topics
regarding reliable and innovative solutions applied to the
healthcare industry and considers various applications, challenges,
and issues of big data and artificial intelligence for enhancing
our quality of life. Covering a range of topics such as electronic
health records, machine learning, and e-health, this reference work
is ideal for healthcare professionals, computer scientists, data
analysts, researchers, practitioners, scholars, academicians,
instructors, and students.
Semantic computing is critical for the development of semantic
systems and applications that must utilize semantic analysis,
semantic description, semantic interfaces, and semantic integration
of data and services to deliver their objectives. Semantic
computing has enormous capabilities to enhance the efficiency and
throughput of systems that are based on key emerging concepts and
technologies such as semantic web, internet of things, blockchain
technology, and knowledge graphs. Thus, research that expounds
advanced concepts, methods, technologies, and applications of
semantic computing for solving challenges in real-world domains is
vital. Advanced Concepts, Methods, and Applications in Semantic
Computing is a scholarly reference book that provides a sound
theoretical foundation for the application of semantic methods,
concepts, and technologies for practical problem solving. It is
designed as a comprehensive and reliable resource on how
semantic-oriented approaches can be used to aid new emergent
technologies and tackle real-world problems. Covering topics that
include deep learning, machine learning, blockchain technology, and
semantic web services, this book is ideal for professionals,
academicians, researchers, and students working in the field of
semantic computing in various disciplines, including but not
limited to software engineering, systems engineering, knowledge
engineering, electronic commerce, computer science, and information
technology.
Mem-elements for Neuromorphic Circuits with Artificial Intelligence
Applications illustrates recent advances in the field of
mem-elements (memristor, memcapacitor, meminductor) and their
applications in nonlinear dynamical systems, computer science,
analog and digital systems, and in neuromorphic circuits and
artificial intelligence. The book is mainly devoted to recent
results, critical aspects and perspectives of ongoing research on
relevant topics, all involving networks of mem-elements devices in
diverse applications. Sections contribute to the discussion of
memristive materials and transport mechanisms, presenting various
types of physical structures that can be fabricated to realize
mem-elements in integrated circuits and device modeling. As the
last decade has seen an increasing interest in recent advances in
mem-elements and their applications in neuromorphic circuits and
artificial intelligence, this book will attract researchers in
various fields.
Structured Light for Optical Communication highlights principles
and applications in the rapidly evolving field of structured light
in wide-ranging contexts, from classical forms of communication to
new frontiers of quantum communication. Besides the basic
principles and applications, the book covers the background of
structured light in its most common forms, as well as
state-of-the-art developments. Structured light has been hailed as
affording outstanding prospects for the realization of high
bandwidth communication, enhanced tools for more highly secure
cryptography, and exciting opportunities for providing a reliable
platform for quantum computing. This book is a valuable resource
for graduate students and other active researchers, as well as
others who may be interested in learning about this cutting-edge
research field.
The advent of the emerging fifth generation (5G) networks has
changed the paradigm of how computing, electronics, and electrical
(CEE) systems are interconnected. CEE devices and systems, with the
help of the 5G technology, can now be seamlessly linked in a way
that is rapidly turning the globe into a digital world. Smart
cities and internet of things have come to stay but not without
some challenges, which must be discussed. The Handbook of Research
on 5G Networks and Advancements in Computing, Electronics, and
Electrical Engineering focuses on current technological innovations
as the world rapidly heads towards becoming a global smart city. It
covers important topics such as power systems, electrical
engineering, mobile communications, network, security, and more.
This book examines vast types of technologies and their roles in
society with a focus on how each works, the impacts it has, and the
future for developing a global smart city. This book is ideal for
both industrial and academic researchers, scientists, engineers,
educators, practitioners, developers, policymakers, scholars, and
students interested in 5G technology and the future of engineering,
computing, and technology in human society.
Advances in Computers, Volume 123 presents innovations in computer
hardware, software, theory, design and applications, with this
updated volume including new chapters on Downlink Resource
Allocations of Satellite-Airborne-Terrestrial Networks Integration,
Evaluating Software Testing Techniques: A Systematic Mapping Study,
The Screening Phase in Systematic Reviews: Can we speed up the
process?, A Survey on Cloud-Based Video Streaming Services, and
User Behavior-Ensemble Learning based Improving QoE Fairness in
HTTP Adaptive Streaming over SDN approach.
Advances in Imaging and Electron Physics, Volume 218 merges two
long-running serials, Advances in Electronics and Electron Physics
and Advances in Optical and Electron Microscopy. The series
features articles on the physics of electron devices (especially
semiconductor devices), particle optics at high and low energies,
microlithography, image science, digital image processing,
electromagnetic wave propagation, electron microscopy and the
computing methods used in all these domains. Specific chapters in
this release cover Phase retrieval methods applied to coherent
imaging, X-ray phase-contrast imaging: a broad overview of some
fundamentals, Graphene and borophene as nanoscopic materials for
electronics - with review of the physics, and more.
Online high school education is challenging with limited resources
for teachers to turn to. In most cases, teachers rely on
trial-and-error. This research-based and practitioner-focused text
provides best practice techniques and utilizes analogies from
brick-and-mortar education to provide a conceptual framework to a
better understanding of how online education functions and how to
be engage students and how to build and maintain a positive digital
culture. This book provides real-world solutions to online and
hybrid educators. The aim of this is to train educators to develop
online culture, healthy and inclusive communication, and how to use
the online classroom environment in parallel or stand-alone with a
face-to-face classroom. Engagement strategies will be discussed as
well as the use of multi-tiered systems of support to engage
students. The desired impact is to increase learning, growth and to
prepare high school students for the next step in their academic
career.
The emergence of new technologies within the industrial revolution
has transformed businesses to a new socio-digital era. In this new
era, businesses are concerned with collecting data on customer
needs, behaviors, and preferences for driving effective customer
engagement and product development, as well as for crucial decision
making. However, the ever-shifting behaviors of consumers provide
many challenges for businesses to pinpoint the wants and needs of
their audience. Consumer Behavior Change and Data Analytics in the
Socio-Digital Era focuses on the concepts, theories, and analytical
techniques to track consumer behavior change. It provides
multidisciplinary research and practice focusing on social and
behavioral analytics to track consumer behavior shifts and improve
decision making among businesses. Covering topics such as consumer
sentiment analysis, emotional intelligence, and online purchase
decision making, this premier reference source is a timely resource
for business executives, entrepreneurs, data analysts, marketers,
advertisers, government officials, social media professionals,
libraries, students and educators of higher education, researchers,
and academicians.
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