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Includes Social Media Analytics Case Studies Reviews Social Media
Analytics Applications Reviews Trends of Innovation in Social Media
Analytics Describes Skills in Social Media Analytics Includes
Real-world examples
This book tackles the recent research directions in using the newly
emerged technologies during the era of COVID-19 pandemic. It mainly
focuses on using emerging technologies and their impact on health
care, education, and society. It also provides insights into the
current challenges and constraints in using technologies during the
era of COVID-19 pandemic and exposes new opportunities for future
research in the domain.
In recent years, new applications on computer-aided technologies
for telemedicine have emerged. Therefore, it is essential to
capture this growing research area concerning the requirements of
telemedicine. This book presents the latest findings on soft
computing, artificial intelligence, Internet of Things and related
computer-aided technologies for enhanced telemedicine and e-health.
Furthermore, this volume includes comprehensive reviews describing
procedures and techniques, which are crucial to support researchers
in the field who want to replicate these methodologies in solving
their related research problems. On the other hand, the included
case studies present novel approaches using computer-aided methods
for enhanced telemedicine and e-health. This volume aims to support
future research activities in this domain. Consequently, the
content has been selected to support not only academics or
engineers but also to be used by healthcare professionals.
This book presents the state of the art of Internet of Things (IoT)
from the perspective of healthcare and Ambient Assisted Living
(AAL). It discusses the emerging technologies in healthcare
services used for healthcare professionals and patients for
enhanced living environments and public health. The topics covered
in this book include emerging eHealth IoT applications, Internet of
Medical Things, health sensors, and wearable sensors for pervasive
and personalized healthcare, and smart homes applications for
enhanced health and well-being. The book also presents various
ideas for the design and development of IoT solutions for
healthcare and AAL. It will be useful for bioengineers and
professionals working in the areas of healthcare as well as health
informatics.
This book presents best selected research papers presented at the
3rd International Conference on Cognitive Informatics and Soft
Computing (CISC 2020), held at Balasore College of Engineering
& Technology, Balasore, Odisha, India, from 12 to 13 December
2020. It highlights, in particular, innovative research in the
fields of cognitive informatics, cognitive computing, computational
intelligence, advanced computing, and hybrid intelligent models and
applications. New algorithms and methods in a variety of fields are
presented, together with solution-based approaches. The topics
addressed include various theoretical aspects and applications of
computer science, artificial intelligence, cybernetics, automation
control theory, and software engineering.
In recent years, new applications on computer-aided technologies
for telemedicine have emerged. Therefore, it is essential to
capture this growing research area concerning the requirements of
telemedicine. This book presents the latest findings on soft
computing, artificial intelligence, Internet of Things and related
computer-aided technologies for enhanced telemedicine and e-health.
Furthermore, this volume includes comprehensive reviews describing
procedures and techniques, which are crucial to support researchers
in the field who want to replicate these methodologies in solving
their related research problems. On the other hand, the included
case studies present novel approaches using computer-aided methods
for enhanced telemedicine and e-health. This volume aims to support
future research activities in this domain. Consequently, the
content has been selected to support not only academics or
engineers but also to be used by healthcare professionals.
This book tackles the recent research directions in using the newly
emerged technologies during the era of COVID-19 pandemic. It mainly
focuses on using emerging technologies and their impact on health
care, education, and society. It also provides insights into the
current challenges and constraints in using technologies during the
era of COVID-19 pandemic and exposes new opportunities for future
research in the domain.
This book presents the state of the art of Internet of Things (IoT)
from the perspective of healthcare and Ambient Assisted Living
(AAL). It discusses the emerging technologies in healthcare
services used for healthcare professionals and patients for
enhanced living environments and public health. The topics covered
in this book include emerging eHealth IoT applications, Internet of
Medical Things, health sensors, and wearable sensors for pervasive
and personalized healthcare, and smart homes applications for
enhanced health and well-being. The book also presents various
ideas for the design and development of IoT solutions for
healthcare and AAL. It will be useful for bioengineers and
professionals working in the areas of healthcare as well as health
informatics.
Current Trends and Advances in Computer-Aided Intelligent
Environmental Data Engineering merges computer engineering and
environmental engineering. The book presents the latest finding on
how data science and AI-based tools are being applied in
environmental engineering research. This application involves
multiple domains such as data science and artificial intelligence
to transform the data collected by intelligent sensors into
relevant and reliable information to support decision-making. These
tools include fuzzy logic, knowledge-based systems, particle swarm
optimization, genetic algorithms, Monte Carlo simulation,
artificial neural networks, support vector machine, boosted
regression tree, simulated annealing, ant colony algorithm,
decision tree, immune algorithm, and imperialist competitive
algorithm. This book is a fundamental information source because it
is the first book to present the foundational reference material in
this new research field. Furthermore, it gives a critical overview
of the latest cross-domain research findings and technological
developments on the recent advances in computer-aided intelligent
environmental data engineering.
Cognitive and Soft Computing Techniques for the Analysis of
Healthcare Data discusses the insight of data processing
applications in various domains through soft computing techniques
and enormous advancements in the field. The book focuses on the
cross-disciplinary mechanisms and ground-breaking research ideas on
novel techniques and data processing approaches in handling
structured and unstructured healthcare data. It also gives insight
into various information-processing models and many memories
associated with it while processing the information for forecasting
future trends and decision making. This book is an excellent
resource for researchers and professionals who work in the
Healthcare Industry, Data Science, and Machine learning.
This book aims to introduce recent advances in IoT and its
applications for smart environments. The state of the art is
reviewed with a focus on the technologies, applications,
challenges, and opportunities. At this stage, a comprehensive
understanding of the formal and practical applications of IoT in
the different scenarios of smart environments is necessary to
support future research. Therefore, the main contribution of this
book is a comprehensive study of the most recent proposals for
smart environments. In addition, this book synthesizes existing
information and highlights common threads and gaps that lead to new
and complex areas of future research. The book covers a range of
major research subjects which will foster future implementations.
The topics include smart learning environments, crowdsensing
applications, participatory citizen sensing, multimodal perception
systems and security challenges. This book seeks to provide a
valuable framework for future research projects by expounding the
topic to academics, engineers, and industry professionals, which is
necessary for the design of future IoT architectures for smart
environments.
This book presents Internet of Things (IoT) solutions monitoring
and assessing a variety of applications areas for indoor air
quality (IAQ). This book synthesizes recent developments, presents
case studies, and discusses new methods in the area of air quality
monitoring, all the while addressing public health concerns. The
authors discuss the issues and solutions, including IoT systems
that can provide a continuous flow of data retrieved from
cost-effective sensors that can be used in multiple
applications.The authors present the leading IoT technologies,
applications, algorithms, systems, and future scope in this
multi-disciplinary domain.
The book presents the state of the art of the Internet of Things
(IoT), applied to Human-Centered Design (HCD) projects addressed to
ageing users, from the perspective of health, care and well-being.
The current focus on the ageing population is opening up new
opportunities for the development of niche solutions aimed at the
niche category of older users who are beginning to experience
physical and cognitive decline but are still independent and need
to maintain their autonomy for as long as possible. The combination
between the needs expressed by older users and the opportunities
offered by the recent innovative technologies related to the
Internet of Things allows research institutions, stakeholders, and
academia to target and design new solutions for older users,
safeguarding their well-being, health, and care, improving their
quality of life. This book discusses and analyses the most recent
services, products, systems and environments specifically conceived
for older users, in order to enhance health, care, well-being and
improve their quality of life. This approach is coherent with the
percept of AAL or enhanced living environment, looking to the
users' comfort, autonomy, engagement and healthcare. The book
describes and analyses aspects of HCD with older users looking to
the emerging technologies, products, services, and environments
analysed in their actual application in different areas, always
concerning the design for the elderly related to the IoT, just as
the development of biomonitoring devices, tools for activity
recognition and simulation, creation of smart living environments,
solutions for their autonomy, assistance and engagement enhancing
health, care and wellbeing. The book is intended for researchers,
designers, engineers, and practitioners in healthcare to connect
academia, stakeholders, and research institutions to foster
education, research and innovation.
This book provides a synthesis for using IoT for indoor air quality
assessment. It will help upcoming researchers to understand the
gaps in the literature while identifying the new challenges and
opportunities to develop healthy living spaces. On the other hand,
this book provides insights about integrating IoT with artificial
intelligence to design smart buildings with enhanced air quality.
Consequently, this book aims to present future scope for carrying
out potential research activities in this domain. Over the past few
years, the Internet of Things (IoT) is proven as the most
revolutionizing invention in the field of engineering and design.
This technology has wide scope in automation and real-time
monitoring. Indoor air quality assessment is one of the most
important applications of IoT which helps in the development of
smart and healthy living spaces. Numerous methods have been
developed for air quality assessment to ensure enhanced public
health and well-being. The combination of sensors,
microcontrollers, and communication technologies can be used to
handle the massive amount of field data to access the condition of
building air quality.
This book introduces machine learning and its applications in smart
environments/cities. At this stage, a comprehensive understanding
of smart environment/city applications is critical for supporting
future research. This book includes chapters written by researchers
from different countries across the globe and identifies critical
threads in research and also gaps that open up new and challenging
lines of research for the future. Recent advances are discussed,
and thorough reviews introduce readers to critical domains. The
discussion on key research topics presented in this book
accelerates smart city and smart environment implementations based
on IoT technologies. Consequently, this book supports future
research activities aimed at developing future IoT architectures
for smart environments/cities.
Get hands-on with game development tools and techniques to build
game project using the latest version of Unreal Engine and C++, two
of the most widely used tools in the games industry Key Features
Kickstart your career or develop a new hobby by learning game
development with Unreal Engine 5 and C++ Learn techniques to
prototype and develop your own ideas with key images printed in
color Reinforce your skills with project-based learning by building
a series of games from scratch Book DescriptionImmerse yourself in
the Unreal game projects with this book, written by four highly
experienced industry professionals with many years of combined
experience with Unreal Engine. Elevating Game Experiences with
Unreal Engine 5 will walk you through the latest version of Unreal
Engine by helping you get hands-on with the game creation projects.
The book starts with an introduction to the Unreal Editor and key
concepts such as actors, blueprints, animations, inheritance, and
player input. You'll then move on to the first of three projects,
building a dodgeball game, where you'll learn the concepts of line
traces, collisions, projectiles, user interface, and sound effects.
You'll also discover how to combine these concepts to showcase your
new skills. The second project, a side-scroller game, will help you
implement concepts such as animation blending, enemy AI, spawning
objects, and collectibles. And finally, you'll cover the key
concepts in creating a multiplayer environment as you work on the
third project, an FPS game. By the end of this Unreal Engine book,
you'll have a broad understanding of how to use the tools that the
game engine provides to start building your own games. What you
will learn Create a fully functional third-person character and
enemies Implement navigation with keyboard, mouse, and gamepad
Program logic and game mechanics with collision and particle
effects Explore AI for games with Blackboards and behavior trees
Build character animations with animation blueprints and montages
Polish your game with stunning visual and sound effects Explore the
fundamentals of game UI using a heads-up display Discover how to
implement multiplayer in your games Who this book is forThis book
is for game developers looking to get started with using Unreal
Engine 5 for their game development projects. Anyone who has used
Unreal Engine before and wants to consolidate, improve, and apply
their skills will find this book useful. To better grasp the
concepts explained in this book, prior knowledge of C++ basics such
as variables, functions, classes, polymorphism, and pointers is
required. For full compatibility with the IDE used in this book, a
Windows system is recommended.
Learn the tools and techniques of game design using a project-based
approach with Unreal Engine 4 and C++ Key Features Kickstart your
career or dive into a new hobby by exploring game design with UE4
and C++ Learn the techniques needed to prototype and develop your
own ideas Reinforce your skills with project-based learning by
building a series of games from scratch Book DescriptionGame
development can be both a creatively fulfilling hobby and a
full-time career path. It's also an exciting way to improve your
C++ skills and apply them in engaging and challenging projects.
Game Development Projects with Unreal Engine starts with the basic
skills you'll need to get started as a game developer. The
fundamentals of game design will be explained clearly and
demonstrated practically with realistic exercises. You'll then
apply what you've learned with challenging activities. The book
starts with an introduction to the Unreal Editor and key concepts
such as actors, blueprints, animations, inheritance, and player
input. You'll then move on to the first of three projects: building
a dodgeball game. In this project, you'll explore line traces,
collisions, projectiles, user interface, and sound effects,
combining these concepts to showcase your new skills. You'll then
move on to the second project; a side-scroller game, where you'll
implement concepts including animation blending, enemy AI, spawning
objects, and collectibles. The final project is an FPS game, where
you will cover the key concepts behind creating a multiplayer
environment. By the end of this Unreal Engine 4 game development
book, you'll have the confidence and knowledge to get started on
your own creative UE4 projects and bring your ideas to life. What
you will learn Create a fully-functional third-person character and
enemies Build navigation with keyboard, mouse, gamepad, and touch
controls Program logic and game mechanics with collision and
particle effects Explore AI for games with Blackboards and Behavior
Trees Build character animations with Animation Blueprints and
Montages Test your game for mobile devices using mobile preview Add
polish to your game with visual and sound effects Master the
fundamentals of game UI design using a heads-up display Who this
book is forThis book is suitable for anyone who wants to get
started using UE4 for game development. It will also be useful for
anyone who has used Unreal Engine before and wants to consolidate,
improve and apply their skills. To grasp the concepts explained in
this book better, you must have prior knowledge of the basics of
C++ and understand variables, functions, classes, polymorphism, and
pointers. For full compatibility with the IDE used in this book, a
Windows system is recommended.
Cyber-Physical Systems: AI and COVID-19 highlights original
research which addresses current data challenges in terms of the
development of mathematical models, cyber-physical systems-based
tools and techniques, and the design and development of algorithmic
solutions, etc. It reviews the technical concepts of gathering,
processing and analyzing data from cyber-physical systems (CPS) and
reviews tools and techniques that can be used. This book will act
as a resource to guide COVID researchers as they move forward with
clinical and epidemiological studies on this outbreak, including
the technical concepts of gathering, processing and analyzing data
from cyber-physical systems (CPS). The major problem in the
identification of COVID-19 is detection and diagnosis due to
non-availability of medicine. In this situation, only one method,
Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been
widely adopted and used for diagnosis. With the evolution of
COVID-19, the global research community has implemented many
machine learning and deep learning-based approaches with
incremental datasets. However, finding more accurate identification
and prediction methods are crucial at this juncture.
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