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Today, computation is an essential component of every technology.
However, there has not been much research on quantum computing,
even though it has the capability to solve complex problems in an
efficient way. Further study is required to fully understand the
uses and benefits of this technology. The Handbook of Research on
Quantum Computing for Smart Environments presents investigating
physical realizations of quantum computers, encoders, and decoders,
including photonic quantum realization, cavity quantum
electrodynamics, and many more topics on Bits to Qubits. Covering
key topics such as machine learning, software, quantum algorithms,
and neural networks, this major reference work is ideal for
engineers, computer scientists, physicists, mathematicians,
researchers, academicians, scholars, practitioners, instructors,
and students.
Blockchain was first conceptualized as a method of building trust
in machines and has grown into a vital aspect of many different
sectors of the economy. Recently, attention has shifted to the
field of autonomous vehicles, and the added value blockchain can
provide for the future of this sector by building next generation
secure decentralized, distributed, and trusted automated
environments and enhancing the productivity of several autonomous
applications. Opportunities and Challenges for Blockchain
Technology in Autonomous Vehicles is a critical reference source
that explores the applications of blockchain in automated
industries. Featuring coverage on a wide range of topics including
privacy, risk assessment, and performance optimization, this book
is ideally designed for design engineers, industry professionals,
cryptographers, service designers, entrepreneurs, government
officials, consultants, researchers, academicians, and students.
More individuals than ever are utilizing internet technologies to
work from home, teach and learn, shop, interact with peers, review
medical records, and more. While it is certainly convenient to
conduct such tasks via the internet, this increased internet
presence has also led to a rise in the search and availability of
personal information, which in turn is resulting in more
cyber-attacks, privacy breaches, and information leaks. Cyber
criminals are using such opportunities to attack governments,
organizations, and individuals, making it necessary to anticipate,
assess, and mitigate privacy and security threats during this
infodemic. The Handbook of Research on Technical, Privacy, and
Security Challenges in a Modern World discusses the design and
development of different machine learning systems, including next
generation applications, in order to mitigate cyber-attacks and
address security challenges in everyday technologies. It further
explores select methods and algorithms of learning for implementing
better security methods in fields such as business and healthcare.
It recognizes the future of privacy and the importance of
preserving data through recommended practice, feedback loops, and
smart agents. Covering topics such as face mask detection, gesture
recognition, and botnet attacks and detection, this major reference
work is a dynamic resource for medical professionals, healthcare
administrators, government officials, business executives and
managers, IT managers, students and faculty of higher education,
librarians, researchers, and academicians.
This book provides stepwise discussion, exhaustive literature
review, detailed analysis and discussion, rigorous experimentation
results (using several analytics tools), and an
application-oriented approach that can be demonstrated with respect
to data analytics using artificial intelligence to make systems
stronger (i.e., impossible to breach). We can see many serious
cyber breaches on Government databases or public profiles at online
social networking in the recent decade. Today artificial
intelligence or machine learning is redefining every aspect of
cyber security. From improving organizations' ability to anticipate
and thwart breaches, protecting the proliferating number of threat
surfaces with Zero Trust Security frameworks to making passwords
obsolete, AI and machine learning are essential to securing the
perimeters of any business. The book is useful for researchers,
academics, industry players, data engineers, data scientists,
governmental organizations, and non-governmental organizations.
Digital technology covers digital information in every form. The
world lives in an information age in which massive amounts of data
are being produced to improve our daily lives. This intelligent
digital network incorporates interconnected people, robots,
gadgets, content, and services all determined by digital
transformation. The role of digital technologies in children's,
adolescent's, and young adult's lives is significantly increasing
across the world. New and emerging devices and services promise to
make their lives easier as they create new ways of connecting,
creating, and relaxing. They also promise to support learning at
home and school by enabling ready access to information and new and
exciting pathways for young people to follow their interests. Yet,
alongside these conveniences come trade-offs with implications for
privacy, safety, health, and well-being. Impact and Role of Digital
Technologies in Adolescent Lives provides a deeper understanding of
how digital technologies impact the lives of children, adolescents,
and young adults; this includes the navigation of developmental
tasks and the issues faced when utilizing these technologies.
Covering topics such as adolescent stress, cyberbullying,
intellectual disabilities, mental health, obesity, social media,
and mindfulness practices, this text is essential for sociologists,
psychologists, media analysts, technologists, academicians,
researchers, students, non-government and government organizations,
and professors.
Augmented and virtual reality (AR and VR) offer exciting
opportunities for human computer interaction (HCI), the enhancement
of places, and new business cases. Though VR is most popular for
video games, especially among younger generations, AR and VR can
also be used in applications that include military, medical,
navigational, tourism, marketing, and maintenance uses. Research in
these technologies along with 3D user interfaces has gained
momentum in recent years and has solidified it as a staple
technology for the foreseeable future. Multimedia and Sensory Input
for Augmented, Mixed, and Virtual Reality includes a collection of
business case studies covering a variety of topics related to AR,
VR, and mixed reality (MR) including their use in possible
applications. This book also touches on the diverse uses of AR and
VR in many industries and discusses their importance, challenges,
and opportunities. While discussing the use these technologies in
sectors such as education, healthcare, and computer science, this
book is ideal for computer scientists, engineers, practitioners,
stakeholders, researchers, academicians, and students who are
interested in the latest research on augmented, mixed, and virtual
reality.
Blockchain technology is an emerging distributed, decentralized
architecture and computing paradigm, which has accelerated the
development and application of cloud, fog and edge computing;
artificial intelligence; cyber physical systems; social networking;
crowdsourcing and crowdsensing; 5g; trust management and finance;
and other many useful sectors. Nowadays, the primary blockchain
technology uses are in information systems to keep information
secure and private. However, many threats and vulnerabilities are
facing blockchain in the past decade such 51% attacks, double
spending attacks, etc. The popularity and rapid development of
blockchain brings many technical and regulatory challenges for
research and academic communities. The main goal of this book is to
encourage both researchers and practitioners of Blockchain
technology to share and exchange their experiences and recent
studies between academia and industry. The reader will be provided
with the most up-to-date knowledge of blockchain in mainstream
areas of security and privacy in the decentralized domain, which is
timely and essential (this is due to the fact that the distributed
and p2p applications are increasing day-by-day, and the attackers
adopt new mechanisms to threaten the security and privacy of the
users in those environments). This book provides a detailed
explanation of security and privacy with respect to blockchain for
information systems, and will be an essential resource for
students, researchers and scientists studying blockchain uses in
information systems and those wanting to explore the current state
of play.
Key features Provides an in-depth understanding of emerging
technologies and integration of artificial intelligence, deep
learning, big data, IoT in healthcare Details specific applications
for the use of AI, big data, and IoT in healthcare Discusses how AI
technology can help in formulating protective measures for COVID-19
and other diseases Includes case studies
This new volume discusses how integrating IoT devices and
cyber-physical systems can help society by providing multiple
efficient and affordable services to users. It covers the various
applications of IoT-based cyber-physical systems, such as satellite
imaging in relation to climate change, industrial control systems,
e-healthcare applications, security uses, automotive and traffic
monitoring and control, urban smart city planning, and more. The
authors also outline the methods, tools, and algorithms for
IoT-based cyber-physical systems and explore the integration of
machine learning, blockchain, and Internet of Things-based cloud
applications. With the continuous emerging new technologies and
trends in IoT technology and CPS, this volume will be a helpful
resource for scientists, researchers, industry professionals,
faculty and students, and others who wish to keep abreast of new
developments and new challenges for sustainable development in
Industry 4.0.
Internet of Things (IoTs) are now being integrated at a large scale
in fast-developing applications such as healthcare, transportation,
education, finance, insurance and retail. The next generation of
automated applications will command machines to do tasks better and
more efficiently. Both industry and academic researchers are
looking at transforming applications using machine learning and
deep learning to build better models and by taking advantage of the
decentralized nature of Blockchain. But the advent of these new
technologies also brings very high expectations to industries,
organisations and users. The decrease of computing costs, the
improvement of data integrity in Blockchain, and the verification
of transactions using Machine Learning are becoming essential
goals. This edited book covers the challenges, opportunities,
innovations, new concepts and emerging trends related to the use of
machine learning, Blockchain and Big Data analytics for IoTs. The
book is aimed at a broad audience of ICTs, data science, machine
learning and cybersecurity researchers interested in the
integration of these disruptive technologies and their applications
for IoTs.
Data science is a multi-disciplinary field that uses scientific
methods, processes, algorithms, and systems to extract knowledge
and insights from structured (labeled) and unstructured (unlabeled)
data. It is the future of Artificial Intelligence (AI) and a
necessity of the future to make things easier and more productive.
In simple terms, data science is the discovery of data or
uncovering hidden patterns (such as complex behaviors, trends, and
inferences) from data. Moreover, Big Data analytics/data analytics
are the analysis mechanisms used in data science by data
scientists. Several tools, such as Hadoop, R, etc., are used to
analyze this large amount of data to predict valuable information
and for decision-making. Note that structured data can be easily
analyzed by efficient (available) business intelligence tools,
while most of the data (80% of data by 2020) is in an unstructured
form that requires advanced analytics tools. But while analyzing
this data, we face several concerns, such as complexity,
scalability, privacy leaks, and trust issues. Data science helps us
to extract meaningful information or insights from unstructured or
complex or large amounts of data (available or stored virtually in
the cloud). Data Science and Data Analytics: Opportunities and
Challenges covers all possible areas, applications with arising
serious concerns, and challenges in this emerging field in detail
with a comparative analysis/taxonomy. FEATURES Gives the concept of
data science, tools, and algorithms that exist for many useful
applications Provides many challenges and opportunities in data
science and data analytics that help researchers to identify
research gaps or problems Identifies many areas and uses of data
science in the smart era Applies data science to agriculture,
healthcare, graph mining, education, security, etc. Academicians,
data scientists, and stockbrokers from industry/business will find
this book useful for designing optimal strategies to enhance their
firm's productivity.
The automation of road vehicles is still developing, moving towards
improved technology, safety, energy and fuel efficiency, comfort,
economic growth, and real-world applications. Vehicle connectivity
and information exchange over the road is an essential requirement
for the future of automated driving. This book is intended to help
bridge the gap between theory and applications of autonomous
vehicles. Vehicular Ad Hoc Networks and Emerging Technologies for
Road Vehicle Automation covers autonomous road vehicles and
systems, with a particular focus on vehicular ad-hoc networks
(VANETs). VANETs are a key part of the intelligent transport
systems framework. They are created by applying the principles of
mobile ad-hoc networks to vehicles; that is, the spontaneous
creation of a wireless network of mobile devices based on
inter-vehicle communication. Coverage also includes further aspects
of autonomous road vehicles, including hybrid vehicles, autonomous
intelligent vehicles, and autonomous decentralized systems (ADS).
The book is essential reading for researchers and advanced students
from academia, industry and government working on the automation of
road vehicles. Additionally, it is a helpful resource for students,
researchers and newcomers to the field; providing an in-depth
understanding of autonomous road vehicles, their internal
structure, types, and fundamental principles, helping to inform and
direct their research, and identify challenging areas and problems
where further investigations are needed.
This book discusses the future possibilities of AI with cloud
computing and edge computing. The main goal of this book is to
conduct analyses, implementation and discussion of many tools (of
artificial intelligence, machine learning and deep learning and
cloud computing, fog computing, and edge computing including
concepts of cyber security) for understanding integration of these
technologies. With this book, readers can quickly get an overview
of these emerging topics and get many ideas of the future of AI
with cloud, edge, and in many other areas. Topics include machine
and deep learning techniques for Internet of Things based cloud
systems; security, privacy and trust issues in AI based cloud and
IoT based cloud systems; AI for smart data storage in cloud-based
IoT; blockchain based solutions for AI based cloud and IoT based
cloud systems.This book is relevent to researchers, academics,
students, and professionals.
Discusses a secure and dependable Wireless Robotics (WR)
architecture, to ensure confidentiality, authentic and availability
as a priority. Covers topics like Blockchain Technology for
securing data at end/ server side. Examines open issues, challenges
faced in this era towards wireless robotics. Covers real world case
studies. Provides two chapters on ethical concerns and privacy law
useful for service providers.
The text discusses recurrent neural networks for prediction and
offers new insights into the learning algorithms, architectures,
and stability of recurrent neural networks. It discusses important
topics including recurrent and folding networks, long short-term
memory (LSTM) networks, gated recurrent unit neural networks,
language modeling, neural network model, activation function,
feed-forward network, learning algorithm, neural turning machines,
and approximation ability. The text discusses diverse applications
in areas including air pollutant modeling and prediction, attractor
discovery and chaos, ECG signal processing, and speech processing.
Case studies are interspersed throughout the book for better
understanding. FEATURES Covers computational analysis and
understanding of natural languages Discusses applications of
recurrent neural network in e-Healthcare Provides case studies in
every chapter with respect to real-world scenarios Examines open
issues with natural language, health care, multimedia
(Audio/Video), transportation, stock market, and logistics The text
is primarily written for undergraduate and graduate students,
researchers, and industry professionals in the fields of
electrical, electronics and communication, and computer
engineering/information technology.
This book provides stepwise discussion, exhaustive literature
review, detailed analysis and discussion, rigorous experimentation
results (using several analytics tools), and an
application-oriented approach that can be demonstrated with respect
to data analytics using artificial intelligence to make systems
stronger (i.e., impossible to breach). We can see many serious
cyber breaches on Government databases or public profiles at online
social networking in the recent decade. Today artificial
intelligence or machine learning is redefining every aspect of
cyber security. From improving organizations' ability to anticipate
and thwart breaches, protecting the proliferating number of threat
surfaces with Zero Trust Security frameworks to making passwords
obsolete, AI and machine learning are essential to securing the
perimeters of any business. The book is useful for researchers,
academics, industry players, data engineers, data scientists,
governmental organizations, and non-governmental organizations.
Data Science for Genomics presents the foundational concepts of
data science as they pertain to genomics, encompassing the process
of inspecting, cleaning, transforming, and modeling data with the
goal of discovering useful information, suggesting conclusions and
supporting decision-making. Sections cover Data Science, Machine
Learning, Deep Learning, data analysis, and visualization
techniques. The authors then present the fundamentals of Genomics,
Genetics, Transcriptomes and Proteomes as basic concepts of
molecular biology, along with DNA and key features of the human
genome, as well as the genomes of eukaryotes and prokaryotes.
Techniques that are more specifically used for studying genomes are
then described in the order in which they are used in a genome
project, including methods for constructing genetic and physical
maps. DNA sequencing methodology and the strategies used to
assemble a contiguous genome sequence and methods for identifying
genes in a genome sequence and determining the functions of those
genes in the cell. Readers will learn how the information contained
in the genome is released and made available to the cell, as well
as methods centered on cloning and PCR.
This book covers a variety of topics and trends related to
blockchain technology for smart era applications. The applications
span industries such as health, government, energy management,
manufacturing, finance, information systems, all far beyond
blockchain's original use in cryptocurrency. The authors present
variants, new models, practical solutions, and technological
advances related to blockchain in these fields and more. The
applications within these fields include blockchain and
cyber-security, IoT security and privacy using blockchain, and
blockchain in industries and society . A variety of case studies
are also included. The book is applicable to researchers,
professionals, students, and professors in a variety of fields in
communications engineering.
This book discusses the future possibilities of AI with cloud
computing and edge computing. The main goal of this book is to
conduct analyses, implementation and discussion of many tools (of
artificial intelligence, machine learning and deep learning and
cloud computing, fog computing, and edge computing including
concepts of cyber security) for understanding integration of these
technologies. With this book, readers can quickly get an overview
of these emerging topics and get many ideas of the future of AI
with cloud, edge, and in many other areas. Topics include machine
and deep learning techniques for Internet of Things based cloud
systems; security, privacy and trust issues in AI based cloud and
IoT based cloud systems; AI for smart data storage in cloud-based
IoT; blockchain based solutions for AI based cloud and IoT based
cloud systems.This book is relevent to researchers, academics,
students, and professionals.
This book includes high-quality research on various aspects of
intelligent interactive multimedia technologies in healthcare
services. The topics covered in the book focus on state-of-the-art
approaches, methodologies, and systems in the design, development,
deployment, and innovative use of multimedia systems, tools, and
technologies in healthcare. The volume provides insights into smart
healthcare service demands. It presents all information about
multimedia uses in e-healthcare applications. The book also
includes case studies and self-assessment problems for readers and
future researchers. This book proves to be a valuable resource to
know how AI can be an alternative tool for automated and
intelligent analytics for e-healthcare applications.
Digital technology covers digital information in every form. The
world lives in an information age in which massive amounts of data
are being produced to improve our daily lives. This intelligent
digital network incorporates interconnected people, robots,
gadgets, content, and services all determined by digital
transformation. The role of digital technologies in children's,
adolescent's, and young adult's lives is significantly increasing
across the world. New and emerging devices and services promise to
make their lives easier as they create new ways of connecting,
creating, and relaxing. They also promise to support learning at
home and school by enabling ready access to information and new and
exciting pathways for young people to follow their interests. Yet,
alongside these conveniences come trade-offs with implications for
privacy, safety, health, and well-being. Impact and Role of Digital
Technologies in Adolescent Lives provides a deeper understanding of
how digital technologies impact the lives of children, adolescents,
and young adults; this includes the navigation of developmental
tasks and the issues faced when utilizing these technologies.
Covering topics such as adolescent stress, cyberbullying,
intellectual disabilities, mental health, obesity, social media,
and mindfulness practices, this text is essential for sociologists,
psychologists, media analysts, technologists, academicians,
researchers, students, non-government and government organizations,
and professors.
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