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The Internet of Things (IoT) is one of the most disruptive
technologies, enabling ubiquitous and pervasive computing
scenarios. IoT is based on intelligent self-configuring nodes (also
known as things) interconnected in a dynamic and global
collaborative network infrastructure. In contrast, Cloud computing
has virtually unlimited capabilities in terms of storage and
processing power, speed, and is a more mature technology. Due to
intrinsic nature of Cloud computing and IoT, they both complement
each other. Recently, we are witnessing an increasing trend in
exploiting use of both Cloud and IoT together. Salient Features: *
Presents latest developments in Cloud computing * Presents latest
developments in Internet of Things * Establishes links between
interdisciplinary areas where IoT and Cloud both can play a role
for improvement of process * Intends to provide an insight into
non-IT related models for improvement of lives * Bridges the gap
between obsolete literature and current literature This book is
aimed primarily at advanced undergraduates and graduates working
with IoT and cloud computing. Researchers, academicians, policy
makers, government officials, NGOs, and industry research
professionals would also find the book useful.
This book covers applications of machine learning in artificial
intelligence. The specific topics covered include human language,
heterogeneous and streaming data, unmanned systems, neural
information processing, marketing and the social sciences,
bioinformatics and robotics, etc. It also provides a broad range of
techniques that can be successfully applied and adopted in
different areas. Accordingly, the book offers an interesting and
insightful read for scholars in the areas of computer vision,
speech recognition, healthcare, business, marketing, and
bioinformatics.
This book covers applications of machine learning in artificial
intelligence. The specific topics covered include human language,
heterogeneous and streaming data, unmanned systems, neural
information processing, marketing and the social sciences,
bioinformatics and robotics, etc. It also provides a broad range of
techniques that can be successfully applied and adopted in
different areas. Accordingly, the book offers an interesting and
insightful read for scholars in the areas of computer vision,
speech recognition, healthcare, business, marketing, and
bioinformatics.
This book gathers the recent advances in Augmented Reality (AR) and
Virtual Reality (VR). It includes topics on classification of
computer assisted environments, field-of-views on visuospatial
memory in complex virtual environment, free-roam VR for gaming,
simulation of physical processes in an electric circuit, motion
study of mated gears, ternary reversible gates with virtual
reality, inclusiveness of AR and VR for agricultural disease
detection, application of AR and VR in medical and pharmaceuticals,
drones for medical assistance, machine learning based AR
technologies for human face detection, recognition, and automated
vehicles for medical assistance. The book is targeted towards
advancing undergraduate, graduate, and post graduate students,
researchers, academicians, policymakers, various government
officials, NGOs, and industry research professionals who are
currently working in the field of science and technology either
directly or indirectly to benefit the common masses.
This book gathers the state-of-the-art for industrial application
of scientific and practical research in the Cloud and IoT paradigms
to benefit society. The book first aims to discuss and outline
various aspects of tackling climate change. The authors then
discuss how Cloud and IoT can help for digital health and learning
from industrial aspects. The next part of book discusses technical
improvements in the fields of security and privacy. The book also
covers Smart Homes and IoT in agriculture. The book is targeted
towards advancing undergraduate, graduate, and post graduate
students, researchers, academicians, policymakers, various
government officials, NGOs, and industry research professionals who
are currently working in the field of science and technology either
directly or indirectly to benefit common masses.
This book gathers the recent advances in Augmented Reality (AR) and
Virtual Reality (VR). It includes topics on classification of
computer assisted environments, field-of-views on visuospatial
memory in complex virtual environment, free-roam VR for gaming,
simulation of physical processes in an electric circuit, motion
study of mated gears, ternary reversible gates with virtual
reality, inclusiveness of AR and VR for agricultural disease
detection, application of AR and VR in medical and pharmaceuticals,
drones for medical assistance, machine learning based AR
technologies for human face detection, recognition, and automated
vehicles for medical assistance. The book is targeted towards
advancing undergraduate, graduate, and post graduate students,
researchers, academicians, policymakers, various government
officials, NGOs, and industry research professionals who are
currently working in the field of science and technology either
directly or indirectly to benefit the common masses.
This book gathers the state-of-the-art for industrial application
of scientific and practical research in the Cloud and IoT paradigms
to benefit society. The book first aims to discuss and outline
various aspects of tackling climate change. The authors then
discuss how Cloud and IoT can help for digital health and learning
from industrial aspects. The next part of book discusses technical
improvements in the fields of security and privacy. The book also
covers Smart Homes and IoT in agriculture. The book is targeted
towards advancing undergraduate, graduate, and post graduate
students, researchers, academicians, policymakers, various
government officials, NGOs, and industry research professionals who
are currently working in the field of science and technology either
directly or indirectly to benefit common masses.
Computational Intelligence and Its Applications in Healthcare
presents rapidly growing applications of computational intelligence
for healthcare systems, including intelligent synthetic characters,
man-machine interface, menu generators, user acceptance analysis,
pictures archiving, and communication systems. Computational
intelligence is the study of the design of intelligent agents,
which are systems that act intelligently: they do what they think
are appropriate for their circumstances and goals; they're flexible
to changing environments and goals; they learn from experience; and
they make appropriate choices given perceptual limitations and
finite computation. Computational intelligence paradigms offer many
advantages in maintaining and enhancing the field of healthcare.
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