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Most modern systems involve various engineering disciplines.
Mechatronic systems are designed to be dependable and efficient;
however, mechatronics engineering faces multiple challenges at the
design and exploitation stages. It is essential for engineers to be
aware of these challenges and remain up to date with the emerging
research in the mechatronics engineering field. Trends, Paradigms,
and Advances in Mechatronics Engineering presents the latest
advances and applications of mechatronics. It highlights the recent
challenges in the field and facilitates understanding of the
subject. Covering topics such as the construction industry, design
optimization, and low-cost fabrication, this premier reference
source is a crucial resource for engineers, computer scientists,
construction managers, students and educators of higher education,
librarians, researchers, and academicians.
Most modern systems involve various engineering disciplines.
Mechatronic systems are designed to be dependable and efficient;
however, mechatronics engineering faces multiple challenges at the
design and exploitation stages. It is essential for engineers to be
aware of these challenges and remain up to date with the emerging
research in the mechatronics engineering field. Trends, Paradigms,
and Advances in Mechatronics Engineering presents the latest
advances and applications of mechatronics. It highlights the recent
challenges in the field and facilitates understanding of the
subject. Covering topics such as the construction industry, design
optimization, and low-cost fabrication, this premier reference
source is a crucial resource for engineers, computer scientists,
construction managers, students and educators of higher education,
librarians, researchers, and academicians.
Renewable energy is crucial to preserve the environment. This
energy involves various systems that must be optimized and assessed
to provide better performance; however, the design and development
of renewable energy systems remains a challenge. It is crucial to
implement the latest innovative research in the field in order to
develop and improve renewable energy systems. Applications of
Nature-Inspired Computing in Renewable Energy Systems discusses the
latest research on nature-inspired computing approaches applied to
the design and development of renewable energy systems and provides
new solutions to the renewable energy domain. Covering topics such
as microgrids, wind power, and artificial neural networks, it is
ideal for engineers, industry professionals, researchers,
academicians, practitioners, teachers, and students.
Technology in today's world has continued to develop into
multifaceted structures. The performance of computers,
specifically, has significantly increased leading to various and
complex problems regarding the dependability of these systems.
Recently, solutions for these issues have been based on soft
computing methods; however, there lacks a considerable amount of
research on the applications of these techniques within system
dependability. Soft Computing Methods for System Dependability is a
collection of innovative research on the applications of these
processing techniques for solving problems within the dependability
of computer system performance. This book will feature comparative
experiences shared by researchers regarding the development of
these technological solutions. While highlighting topics including
evolutionary computing, chaos theory, and artificial neural
networks, this book is ideally designed for researchers, data
scientists, computing engineers, industrialists, students, and
academicians in the field of computer science.
Nature-Inspired Computing Paradigms in Systems: Reliability,
Availability, Maintainability, Safety and Cost (RAMS+C) and
Prognostics and Health Management (PHM) covers several areas that
include bioinspired techniques and optimization approaches for
system dependability. The book addresses the issue of integration
and interaction of the bioinspired techniques in system
dependability computing so that intelligent decisions, design, and
architectures can be supported. It brings together these emerging
areas under the umbrella of bio- and nature-inspired computational
intelligence. The primary audience of this book includes experts
and developers who want to deepen their understanding of
bioinspired computing in basic theory, algorithms, and
applications. The book is also intended to be used as a textbook
for masters and doctoral students who want to enhance their
knowledge and understanding of the role of bioinspired techniques
in system dependability.
Technology in today's world has continued to develop into
multifaceted structures. The performance of computers,
specifically, has significantly increased leading to various and
complex problems regarding the dependability of these systems.
Recently, solutions for these issues have been based on soft
computing methods; however, there lacks a considerable amount of
research on the applications of these techniques within system
dependability. Soft Computing Methods for System Dependability is a
collection of innovative research on the applications of these
processing techniques for solving problems within the dependability
of computer system performance. This book will feature comparative
experiences shared by researchers regarding the development of
these technological solutions. While highlighting topics including
evolutionary computing, chaos theory, and artificial neural
networks, this book is ideally designed for researchers, data
scientists, computing engineers, industrialists, students, and
academicians in the field of computer science.
Renewable energy is crucial to preserve the environment. This
energy involves various systems that should be optimized and
assessed to provide better performance. The goal of this book is to
present the latest research works on nature-inspired computing
approaches applied to the design and development of renewable
energy systems. The design and development of renewable energy
systems remain a challenge. This book focuses on nature-inspired
computing approaches which are the most prevailing solutions.
Therefore, the book provides new solutions to the renewable energy
domain. It is an essential research book for researchers, students,
engineers, and individuals working in the renewable energy
industry.
Advanced manufacturing processes and systems are some of the most
important things in the industry. All industrial sectors need these
kinds of processes and systems to achieve high-quality levels and
standards. In Industry 4.0, several challenges must be investigated
to deal with its complexity. The book "Advanced Manufacturing:
Progress, Trends and Challenges" is a source of the latest research
and technical notes in manufacturing systems. This book is useful
for students, researchers, and all readers interested in this
topic. It is organized into eight chapters.
Manufacturing has seen progress during the industrial revolution
from Industry 1.0 to 4.0. Recent manufacturing processes involve
various systems and several challenges remain to handle. For
example, the spread of the virus COVID-19 in the late of 2019 has
talked many industrial abilities and various manufacturing systems
shown incapacities. Therefore, any manufacturing system and process
should be improved and tested under crisis scenarios. The book
"Manufacturing Systems: Progress and Future Directions" is a source
of the latest research and technical notes in manufacturing
systems. This book is useful for students, researchers, and all
readers interested in this topic. It is organized into twenty-seven
chapters.
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