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This book is focused on addressing the designs of FinFET-based
analog ICs for 5G and E-band communication networks. In addition,
it also incorporates some of the contemporary developments over
different fields. It highlights the latest advances, problems and
challenges and presents the latest research results in the field of
mm-wave integrated circuits designing based on scientific
literature and its practical realization. The traditional
approaches are excluded in this book. The authors cover various
design guidelines to be taken care for while designing these
circuits and detrimental scaling effects on the same. Moreover,
Gallium Nitrides (GaN) are also reported to show huge potentials
for the power amplifier designing required in 5G communication
network. Subsequently, to enhance the readability of this book, the
authors also include real-time problems in RFIC designing, case
studies from experimental results, and clearly demarking design
guidelines for the 5G communication ICs designing. This book
incorporates the most recent FinFET architecture for the analog IC
designing and the scaling effects along with the GaN technology as
well.
This book is focused on addressing the designs of FinFET-based
analog ICs for 5G and E-band communication networks. In addition,
it also incorporates some of the contemporary developments over
different fields. It highlights the latest advances, problems and
challenges and presents the latest research results in the field of
mm-wave integrated circuits designing based on scientific
literature and its practical realization. The traditional
approaches are excluded in this book. The authors cover various
design guidelines to be taken care for while designing these
circuits and detrimental scaling effects on the same. Moreover,
Gallium Nitrides (GaN) are also reported to show huge potentials
for the power amplifier designing required in 5G communication
network. Subsequently, to enhance the readability of this book, the
authors also include real-time problems in RFIC designing, case
studies from experimental results, and clearly demarking design
guidelines for the 5G communication ICs designing. This book
incorporates the most recent FinFET architecture for the analog IC
designing and the scaling effects along with the GaN technology as
well.
We have witnessed an explosion of research activity around
nature-inspired computing and bio-inspired optimization techniques,
which can provide powerful tools for solving learning problems and
data analysis in very large data sets. To design and implement
optimization algorithms, several methods are used that bring
superior performance. However, in some applications, the search
space increases exponentially with the problem size. To overcome
these limitations and to solve efficiently large scale
combinatorial and highly nonlinear optimization problems, more
flexible and adaptable algorithms are necessary. Nature-inspired
computing is oriented towards the application of outstanding
information-processing aptitudes of the natural realm to the
computational domain. The discipline of nature-inspired
optimization algorithms is a major field of computational
intelligence, soft computing and optimization. Metaheuristic search
algorithms with population-based frameworks are capable of handling
optimization in high-dimensional real-world problems for several
domains including imaging, IoT, smart manufacturing, and
healthcare. The integration of intelligence with smart technology
enhances accuracy and efficiency. Smart devices and systems are
revolutionizing the world by linking innovative thinking with
innovative action and innovative implementation. The aim of this
edited book is to review the intertwining disciplines of
nature-inspired computing and bio-inspired soft-computing (BISC)
and their applications to real world challenges. The contributors
cover the interaction between metaheuristics, such as evolutionary
algorithms and swarm intelligence, with complex systems. They
explain how to better handle different kinds of uncertainties in
real-life problems using state-of-art of machine learning
algorithms. They also explore future research perspectives to
bridge the gap between theory and real-life day-to-day challenges
for diverse domains of engineering. The book will offer valuable
insights to researchers and scientists from academia and industry
in ICTs, IT and computer science, data science, AI and machine
learning, swarm intelligence and complex systems. It is also a
useful resource for professionals in related fields, and for
advanced students with an interest in optimization and IoT
applications.
Neurobiology deals with the study of structure and functions of the
nervous system. The brain is the most important organ of the
nervous system, and it makes us human since it is the seat of our
behaviour. Nerve cells (neurons) are the basic building blocks of
the nervous system (or the brain) in the same way that elementary
atomic particles and forces are the building blocks of physical
matter. Neural function depends on the coordinated action of
neurons. Therefore, the basic principles and mechanisms of
neurophysiological functions from molecular, genomic to
cellular-organismal levels form the central theme of the book.
Mathematics has been used when considered essential; emphasis is
given to the development of qualitative intuitive understanding of
complex functions. For understanding the nervous system or the
brain it is essential to learn how single cell and molecules in the
nervous system function to produce electrical activity.
Neuroelectric phenomena have thus been duly emphasized in the text.
Pathological, pathophysiological aspects of neurobiological
phenomena have also been fairly focused on.
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