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This book presents the latest research on applications of
artificial intelligence and the Internet of Things in renewable
energy systems. Advanced renewable energy systems must necessarily
involve the latest technology like artificial intelligence and
Internet of Things to develop low cost, smart and efficient
solutions. Intelligence allows the system to optimize the power,
thereby making it a power efficient system; whereas, Internet of
Things makes the system independent of wire and flexibility in
operation. As a result, intelligent and IOT paradigms are finding
increasing applications in the study of renewable energy systems.
This book presents advanced applications of artificial intelligence
and the internet of things in renewable energy systems development.
It covers such topics as solar energy systems, electric vehicles
etc. In all these areas applications of artificial intelligence
methods such as artificial neural networks, genetic algorithms,
fuzzy logic and a combination of the above, called hybrid systems,
are included. The book is intended for a wide audience ranging from
the undergraduate level up to the research academic and industrial
communities engaged in the study and performance prediction of
renewable energy systems.
Machine learning has become one of the most prevalent topics in
recent years. The application of machine learning we see today is a
tip of the iceberg. The machine learning revolution has just
started to roll out. It is becoming an integral part of all modern
electronic devices. Applications in automation areas like
automotive, security and surveillance, augmented reality, smart
home, retail automation and healthcare are few of them. Robotics is
also rising to dominate the automated world. The future
applications of machine learning in the robotics area are still
undiscovered to the common readers. We are, therefore, putting an
effort to write this edited book on the future applications of
machine learning on robotics where several applications have been
included in separate chapters. The content of the book is
technical. It has been tried to cover all possible application
areas of Robotics using machine learning. This book will provide
the future vision on the unexplored areas of applications of
Robotics using machine learning. The ideas to be presented in this
book are backed up by original research results. The chapter
provided here in-depth look with all necessary theory and
mathematical calculations. It will be perfect for laymen and
developers as it will combine both advanced and introductory
material to form an argument for what machine learning could
achieve in the future. It will provide a vision on future areas of
application and their approach in detail. Therefore, this book will
be immensely beneficial for the academicians, researchers and
industry project managers to develop their new project and thereby
beneficial for mankind. Original research and review works with
model and build Robotics applications using Machine learning are
included as chapters in this book.
This book presents the latest research on applications of
artificial intelligence and the Internet of Things in renewable
energy systems. Advanced renewable energy systems must necessarily
involve the latest technology like artificial intelligence and
Internet of Things to develop low cost, smart and efficient
solutions. Intelligence allows the system to optimize the power,
thereby making it a power efficient system; whereas, Internet of
Things makes the system independent of wire and flexibility in
operation. As a result, intelligent and IOT paradigms are finding
increasing applications in the study of renewable energy systems.
This book presents advanced applications of artificial intelligence
and the internet of things in renewable energy systems development.
It covers such topics as solar energy systems, electric vehicles
etc. In all these areas applications of artificial intelligence
methods such as artificial neural networks, genetic algorithms,
fuzzy logic and a combination of the above, called hybrid systems,
are included. The book is intended for a wide audience ranging from
the undergraduate level up to the research academic and industrial
communities engaged in the study and performance prediction of
renewable energy systems.
Machine learning has become one of the most prevalent topics in
recent years. The application of machine learning we see today is a
tip of the iceberg. The machine learning revolution has just
started to roll out. It is becoming an integral part of all modern
electronic devices. Applications in automation areas like
automotive, security and surveillance, augmented reality, smart
home, retail automation and healthcare are few of them. Robotics is
also rising to dominate the automated world. The future
applications of machine learning in the robotics area are still
undiscovered to the common readers. We are, therefore, putting an
effort to write this edited book on the future applications of
machine learning on robotics where several applications have been
included in separate chapters. The content of the book is
technical. It has been tried to cover all possible application
areas of Robotics using machine learning. This book will provide
the future vision on the unexplored areas of applications of
Robotics using machine learning. The ideas to be presented in this
book are backed up by original research results. The chapter
provided here in-depth look with all necessary theory and
mathematical calculations. It will be perfect for laymen and
developers as it will combine both advanced and introductory
material to form an argument for what machine learning could
achieve in the future. It will provide a vision on future areas of
application and their approach in detail. Therefore, this book will
be immensely beneficial for the academicians, researchers and
industry project managers to develop their new project and thereby
beneficial for mankind. Original research and review works with
model and build Robotics applications using Machine learning are
included as chapters in this book.
This book aims to foster machine and deep learning approaches to
data-driven applications, in which data governs the behaviour of
applications. Applications of Artificial intelligence (AI)-based
systems play a significant role in today's software industry. The
sensors data from hardware-based systems making a mammoth database,
increasing day by day. Recent advances in big data generation and
management have created an avenue for decision-makers to utilize
these huge volumes of data for different purposes and analyses.
AI-based application developers have long utilized conventional
machine learning techniques to design better user interfaces and
vulnerability predictions. However, with the advancement of deep
learning-based and neural-based networks and algorithms,
researchers are able to explore and learn more about data and their
exposed relationships or hidden features. This new trend of
developing data-driven application systems seeks the adaptation of
computational neural network algorithms and techniques in many
application domains, including software systems, cyber security,
human activity recognition, and behavioural modelling. As such,
computational neural networks algorithms can be refined to address
problems in data-driven applications. Original research and review
works with model and build data-driven applications using
computational algorithm are included as chapters in this book.
Applications of AI and IOT in Renewable Energy provides a future
vision of unexplored areas and applications for Artificial
Intelligence and Internet of Things in sustainable energy systems.
The ideas presented in this book are backed up by original,
unpublished technical research results covering topics like smart
solar energy systems, intelligent dc motors and energy efficiency
study of electric vehicles. In all these areas and more,
applications of artificial intelligence methods, including
artificial neural networks, genetic algorithms, fuzzy logic and a
combination of the above in hybrid systems are included. This book
is designed to assist with developing low cost, smart and efficient
solutions for renewable energy systems and is intended for
researchers, academics and industrial communities engaged in the
study and performance prediction of renewable energy systems.
This book constitutes selected papers presented at the First
International Conference on Advanced Communication and Intelligent
Systems, ICACIS 2022, held as a virtual event in October 2022. The
69 papers were thoroughly reviewed and selected from the 258
subissions. The book focuses on current development in the fields
of communication and intelligent systems.
This book provides a valuable combination of relevant research
works on developing smart city ecosystem from the artificial
intelligence (AI) and Internet of things (IoT) perspective. The
technical research works presented here are focused on a number of
aspects of smart cities: smart mobility, smart living, smart
environment, smart citizens, smart government, and smart waste
management systems as well as related technologies and concepts.
This edited book offers critical insight to the key underlying
research themes within smart cities, highlighting the limitations
of current developments and potential future directions.
This book provides a valuable combination of relevant research
works on developing smart city ecosystem from the artificial
intelligence (AI) and Internet of things (IoT) perspective. The
technical research works presented here are focused on a number of
aspects of smart cities: smart mobility, smart living, smart
environment, smart citizens, smart government, and smart waste
management systems as well as related technologies and concepts.
This edited book offers critical insight to the key underlying
research themes within smart cities, highlighting the limitations
of current developments and potential future directions.
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.
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