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This book is a collection of high-quality research papers presented
at the International Conference on Smart and Intelligent Systems
(SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha
Engineering College (VRSEC), Andhra Pradesh, India, during February
25-26, 2021, in virtual mode. It highlights how recent informatics
intelligent systems have successfully been used to develop
innovative smart techniques and infrastructure in the field of
modern engineering and technology. The book will also be of
interest to those working in the field of computational
intelligence, smart computer network and security analysis, control
and automation system, cloud computing, fog computing and IoT,
smart grid communication, smart cities, solar cell synthesis and
their performance, green technology, and many more. The contents of
this book prove useful to researchers and professionals.
This book comprises theoretical foundations to deep learning,
machine learning and computing system, deep learning algorithms,
and various deep learning applications. The book discusses
significant issues relating to deep learning in data analytics.
Further in-depth reading can be done from the detailed bibliography
presented at the end of each chapter. Besides, this book's material
includes concepts, algorithms, figures, graphs, and tables in
guiding researchers through deep learning in data science and its
applications for society. Deep learning approaches prevent loss of
information and hence enhance the performance of data analysis and
learning techniques. It brings up many research issues in the
industry and research community to capture and access data
effectively. The book provides the conceptual basis of deep
learning required to achieve in-depth knowledge in computer and
data science. It has been done to make the book more flexible and
to stimulate further interest in topics. All these help researchers
motivate towards learning and implementing the concepts in
real-life applications.
This book is a collection of high-quality research papers presented
at the International Conference on Smart and Intelligent Systems
(SIS 2021), which will be held in Velagapudi Ramakrishna Siddhartha
Engineering College (VRSEC), Andhra Pradesh, India, during February
25-26, 2021, in virtual mode. It highlights how recent informatics
intelligent systems have successfully been used to develop
innovative smart techniques and infrastructure in the field of
modern engineering and technology. The book will also be of
interest to those working in the field of computational
intelligence, smart computer network and security analysis, control
and automation system, cloud computing, fog computing and IoT,
smart grid communication, smart cities, solar cell synthesis and
their performance, green technology, and many more. The contents of
this book prove useful to researchers and professionals.
This book comprises theoretical foundations to deep learning,
machine learning and computing system, deep learning algorithms,
and various deep learning applications. The book discusses
significant issues relating to deep learning in data analytics.
Further in-depth reading can be done from the detailed bibliography
presented at the end of each chapter. Besides, this book's material
includes concepts, algorithms, figures, graphs, and tables in
guiding researchers through deep learning in data science and its
applications for society. Deep learning approaches prevent loss of
information and hence enhance the performance of data analysis and
learning techniques. It brings up many research issues in the
industry and research community to capture and access data
effectively. The book provides the conceptual basis of deep
learning required to achieve in-depth knowledge in computer and
data science. It has been done to make the book more flexible and
to stimulate further interest in topics. All these help researchers
motivate towards learning and implementing the concepts in
real-life applications.
Recently, several fog computing applications have been developed
like IoT-based healthcare, 5G, blockchains, autonomous driving, and
mobile wireless applications. They also address challenges such as
data management, scalability, regulations, interoperability, device
network human interfaces, security, and privacy. Further study on
these applications is required to ensure this technology is
utilized appropriately. Multi-Disciplinary Applications of Fog
Computing: Responsiveness in Real-Time focuses on fog computing
problems and solutions for various applications and covers the new
approaches, architecture, and theoretical foundations in the fog
paradigm of storage, communication, and computing. The book
explores recent trends and challenges that lead to a potential
course for the ideas, practices, norms, and strategies related to
fog computing. Covering key topics such as data privacy, data
analytics, and the internet of things, this reference work is ideal
for computer scientists, policymakers, researchers, scholars,
practitioners, instructors, and students.
Data analytics is an active area of current research for its
potential application to many real-life problems. Therefore, it is
challenging for human beings in analyzing, processing, and
transforming huge data into knowledge. It is very difficult to
analyze and extract expert knowledge from a universe due to the
lack of computing resources available. Therefore, it is an active
area of current research in computer science, electronics,
electrical, and information technology. The objective of this
edited book is to provide the researchers the recent advances in
the fields of data analysis processing through fog computing, which
are required to achieve in-depth knowledge in the field of
concerned to solve problems in real-time applications. To achieve
these objectives, both theoretical advances and their applications
to real-life problems are stressed upon. This has been done to make
the edited book more flexible and to stimulate further research
interest in topics. Besides providing up-to-date knowledge in the
field, this edited volume also provides a launchpad for future
research. Many of the researchers in different organizations across
the globe have been doing research in fog computing, its
architecture, and its applications. To keep abreast with this
development, it is an effort to bring the recent advances in fog
computing and its emerging applications in a cohesive manner. The
main objective is to bring most of the major developments in the
above-mentioned area in a precise manner so that it can serve as a
handbook for many researchers. Also, many of the universities have
introduced this topic as a course at the postgraduate level.
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