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1) The objective of this book is to provide a forum for researchers
and practitioners to exchange ideas and progress in Cyber-Physical
Systems (CPS) by highlighting some original research and survey
chapters. It offers a rigorous introduction to theoretical
foundations and discusses practical solution techniques for
building cyber-physical systems, communication and control,
intelligence and security 2) There will be a demand for this book
since Cyber-Physical Systems (CPS) is a rapidly emerging field,
which will provide the foundation of future smart services, and
improve our quality of life in many areas. 3) It is highly
recommended to be used as a reference book for a graduate and post
graduate level programmes in Universities with focus on research in
Computer science related courses.
1) The objective of this book is to provide a forum for researchers
and practitioners to exchange ideas and progress in Cyber-Physical
Systems (CPS) by highlighting some original research and survey
chapters. It offers a rigorous introduction to theoretical
foundations and discusses practical solution techniques for
building cyber-physical systems, communication and control,
intelligence and security 2) There will be a demand for this book
since Cyber-Physical Systems (CPS) is a rapidly emerging field,
which will provide the foundation of future smart services, and
improve our quality of life in many areas. 3) It is highly
recommended to be used as a reference book for a graduate and post
graduate level programmes in Universities with focus on research in
Computer science related courses.
With the advent of recent technologies, the demand for Information
and Communication Technology (ICT) based applications such as
artificial intelligence (AI), machine learning, Internet of Things
(IoT), health care, data analytics, augmented reality / virtual
reality, cyber-physical systems, and future generation networks has
increased drastically. In recent years, artificial intelligence has
played a more significant role in everyday activities. While AI
creates opportunities, it also presents greater challenges in the
sustainable development of engineering applications  This
book highlights the recent advances in AI and its allied
technologies with a special focus on sustainable applications. It
covers theoretical background, a hands-on approach, and real-time
use cases with experimental and analytical results.
Provides fundamentals of automotive software architectures.
Discusses validation and verification of automotive systems. Covers
communication protocols in automotive software development process.
Discusses AUTOSAR architecture for electric vehicle. Examines
open-source architecture in automotive software industry.
This book addresses and disseminates state-of-the-art research and
development in the applications of intelligent techniques for smart
grids and renewable energy systems. This helps the readers to grasp
the extensive point of view and the essence of the recent advances
in this field. The book solicits contributions from active
researchers which include theory, case studies and intelligent
paradigms pertaining to the smart grid and renewable energy
systems. The prospective audience would be researchers,
professionals, practitioners and students from academia and
industry who work in this field.
This book addresses and disseminates state-of-the-art research and
development in the applications of intelligent techniques for smart
grids and renewable energy systems. This helps the readers to grasp
the extensive point of view and the essence of the recent advances
in this field. The book solicits contributions from active
researchers which include theory, case studies and intelligent
paradigms pertaining to the smart grid and renewable energy
systems. The prospective audience would be researchers,
professionals, practitioners and students from academia and
industry who work in this field.
This book includes original research findings in the field of
memetic algorithms for image processing applications. It gathers
contributions on theory, case studies, and design methods
pertaining to memetic algorithms for image processing applications
ranging from defence, medical image processing, and surveillance,
to computer vision, robotics, etc. The content presented here
provides new directions for future research from both theoretical
and practical viewpoints, and will spur further advances in the
field.
This book includes original research findings in the field of
memetic algorithms for image processing applications. It gathers
contributions on theory, case studies, and design methods
pertaining to memetic algorithms for image processing applications
ranging from defence, medical image processing, and surveillance,
to computer vision, robotics, etc. The content presented here
provides new directions for future research from both theoretical
and practical viewpoints, and will spur further advances in the
field.
This book addresses and disseminates research and development in
the applications of intelligent techniques for computer vision, the
field that works on enabling computers to see, identify, and
process images in the same way that human vision does, and then
providing appropriate output. The book provides contributions which
include theory, case studies, and intelligent techniques pertaining
to computer vision applications. The book helps readers grasp the
essence of the recent advances in this complex field. The audience
includes researchers, professionals, practitioners, and students
from academia and industry who work in this interdisciplinary
field. The authors aim to inspire future research both from
theoretical and practical viewpoints to spur further advances in
the field.
This book addresses and disseminates state-of-the-art research and
development of differential evolution (DE) and its recent advances,
such as the development of adaptive, self-adaptive and hybrid
techniques. Differential evolution is a population-based
meta-heuristic technique for global optimization capable of
handling non-differentiable, non-linear and multi-modal objective
functions. Many advances have been made recently in differential
evolution, from theory to applications. This book comprises
contributions which include theoretical developments in DE,
performance comparisons of DE, hybrid DE approaches, parallel and
distributed DE for multi-objective optimization, software
implementations, and real-world applications. The book is useful
for researchers, practitioners, and students in disciplines such as
optimization, heuristics, operations research and natural
computing.
This book addresses and disseminates state-of-the-art research and
development of differential evolution (DE) and its recent advances,
such as the development of adaptive, self-adaptive and hybrid
techniques. Differential evolution is a population-based
meta-heuristic technique for global optimization capable of
handling non-differentiable, non-linear and multi-modal objective
functions. Many advances have been made recently in differential
evolution, from theory to applications. This book comprises
contributions which include theoretical developments in DE,
performance comparisons of DE, hybrid DE approaches, parallel and
distributed DE for multi-objective optimization, software
implementations, and real-world applications. The book is useful
for researchers, practitioners, and students in disciplines such as
optimization, heuristics, operations research and natural
computing.
Smart healthcare has gradually gained its popularity because of the
development of information technologies and computing paradigms
such as internet of things (loT), big data, Cloud computing and
artificial intelligence. These technologies transform the
conventional medical system in to smarter one by making healthcare
more convenient, efficient, accurate, and more customized. Smart
healthcare will lead to a revolutionized healthcare system that
enables the participation of all people for the early prediction
and prevention of diseases so that preemptive and pro-active
treatment can be delivered. The aim of this edited book is to
publish the latest research advancements in the convergence of
automation technology, artificial intelligence, biomedical
engineering and health informatics. This will help the readers to
grasp the extensive point of view and the essence of the recent
advances in this field. This book solicits contributions which
include theory, case studies and computing paradigms pertaining to
the healthcare applications. The prospective audience would be
researchers, professionals, practitioners, and students from
academia and industry who work in this field. We hope the chapters
presented will inspire future research both from theoretical and
practical viewpoints to spur further advances in the field. The
entire book is the contribution of interdisciplinary expertise
available in the esteemed Institution PSG College of Technology, an
ISO 9001:2015 certified Government aided Institution, belonging to
Department of Information Technology, Computer Science and
Engineering, Electronics and Communication Engineering, Biomedical
Engineering and Biotechnology. A brief introduction about each
chapter is as follows. Chapter 1 focuses on health informatics
which provides an overview of the various types of data originating
from the medical information, Chapter 2 objective is to provide a
asmart connected environment' which includes storing, processing
and exchange information seamlessly using technologies. Chapter 3
deals with an intelligent healthcare system for automatic diagnosis
of diseases based on IOT enabled cloud computing framework and deep
learning Chapter 4 discuss about basic concepts of digital twin
technology and implementation of digital twin in various health
care domains. Chapter 5 proposes a graph based framework for
classification, feature selection method which uses the existing
notion, histograms for extracting isotonic features from a data
set. Chapter 6 explains the significance of convolution neural
network in medical image analysis. Chapter 7 summarizes recent
advances in AI tools applied in cancer diagnosis and research for
disease prediction and biomarker discovery. Chapter 8 explores DNA
microarray data followed by the implementation of machine learning
algorithms to obtain the highly predictive genes for
classification. Chapter 9 uses various data structures such as hash
tables and prefix-based search trees to efficiently query the EHR
data present in the Blockchain. Chapter 10 focuses on agreeing upon
a common symmetric cryptographic key generated from the ECG signal
collected at different locations of a patient using linear
prediction and error control coding techniques. We are grateful to
the authors and reviewers for their excellent contributions for
making this book possible.
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