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This book offers a comprehensive exploration of the Internet of
Medical Things in the post-COVID-19 era. The COVID-19 epidemic has
helped to expand the function of IoMT in healthcare at an
exponential rate. The volume provides an overview of modern
technologies used for the improvement of healthcare, such as IoT,
artificial intelligence, robotics, big data, and wearable devices
used in healthcare applications, with a focus on the detection and
treatment of COVID-19 and related viruses. The volume presents the
principles, state-of-the-art developments, architectures,
real-world applications, actual case studies, results of IoMT
experiments and sensor-based systems, and more. The chapters look
at various aspects of artificial intelligence in IoMT-based
telemedicine, health monitoring, early COVID detection, automatic
intravenous fluids feeds, chest x-ray images, data collection for
decision-making, security of health information, and more.
Providing an understanding of the real applications, development of
healthcare systems, architectural frameworks, and modern design
elements of healthcare systems, Internet of Medical Things in Smart
Healthcare: Post-COVID-19 Pandemic Scenario will be valuable for
faculty and students, researchers, academicians, healthcare
professionals, healthcare developers, and policymakers as well as
for those in management and information technology.
This book explores computational engineering techniques and
applications in agriculture development. Recent technologies such
as cloud computing, IoT, big data, and machine learning are focused
on for smart agricultural engineering. This book provides practical
and use case oriented approaches for IOT-based agricultural
systems. Predictive Analysis in Smart Agriculture deals with all
aspects of smart agriculture with state-of-the-art predictive
analysis in the complete 360-degree view spectrum. The book
includes the concepts of urban and vertical farming using Agro IoT
systems and renewable energy sources for modern agriculture trends.
It discusses the real-world challenges, complexities in Agro IoT,
and advantages of incorporating smart technology. It also presents
the rapid advancement of the technologies in the existing Agri
model by applying the various techniques. Novel architectural
solutions in smart agricultural engineering are the core aspects of
this book. Several predictive analysis tools and smart agriculture
are also incorporated. This book can be used as a textbook for
students in predictive analysis, agriculture engineering, precision
farming, and smart agriculture. It can also be a reference book for
practicing professionals in cloud computing, IoT, big data, machine
learning, and deep learning working on smart agriculture
applications.
Handbook of Artificial Intelligence in Biomedical Engineering
focuses on recent AI technologies and applications that provide
some very promising solutions and enhanced technology in the
biomedical field. Recent advancements in computational techniques,
such as machine learning, Internet of Things (IoT), and big data,
accelerate the deployment of biomedical devices in various
healthcare applications. This volume explores how artificial
intelligence (AI) can be applied to these expert systems by
mimicking the human expert's knowledge in order to predict and
monitor the health status in real time. The accuracy of the AI
systems is drastically increasing by using machine learning,
digitized medical data acquisition, wireless medical data
communication, and computing infrastructure AI approaches, helping
to solve complex issues in the biomedical industry and playing a
vital role in future healthcare applications. The volume takes a
multidisciplinary perspective of employing these new applications
in biomedical engineering, exploring the combination of engineering
principles with biological knowledge that contributes to the
development of revolutionary and life-saving concepts.
1) Scope of this book is to explore and present the modern
computational engineering techniques and applications in the
agriculture development. Recent technologies such as cloud
computing, IoT, Big data, Machine learning are focused here for
smart agricultural engineering. This book provides practical and
use case oriented approaches for Agro IoT systems. 2) This filed is
emerging and hence the proposed book, will remain in demand for at
least next 10 years, until there is an impressive advancement in
technology. 3) This proposed book covers Automated Agriculture
& Use of drones and robotics, hardware innovations to support
cost effective agriculture, which are not covered in existing
publications.
Handbook of Artificial Intelligence in Biomedical Engineering
focuses on recent AI technologies and applications that provide
some very promising solutions and enhanced technology in the
biomedical field. Recent advancements in computational techniques,
such as machine learning, Internet of Things (IoT), and big data,
accelerate the deployment of biomedical devices in various
healthcare applications. This volume explores how artificial
intelligence (AI) can be applied to these expert systems by
mimicking the human expert's knowledge in order to predict and
monitor the health status in real time. The accuracy of the AI
systems is drastically increasing by using machine learning,
digitized medical data acquisition, wireless medical data
communication, and computing infrastructure AI approaches, helping
to solve complex issues in the biomedical industry and playing a
vital role in future healthcare applications. The volume takes a
multidisciplinary perspective of employing these new applications
in biomedical engineering, exploring the combination of engineering
principles with biological knowledge that contributes to the
development of revolutionary and life-saving concepts.
Focusses on important perspectives of the Internet of Drones (IoD)
Emphasizes drone deployment in smart cities, smart agriculture,
smart healthcare, and 3D mapping Covers challenges in drone design
for applications with security and privacy issues Reviews
diversified drone applications with real-use cases from modern
drone players ranging from startup companies to big giants in the
drone industry Includes different aspects of drone design such as
hardware and software architecture, potential applications, and
opportunities
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Blockchain for Smart Cities (Paperback)
Saravanan Krishnan, Valentina E. Balas, Julie Golden, Y. Harold Robinson, Raghvendra Kumar Kumar
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R2,876
R2,663
Discovery Miles 26 630
Save R213 (7%)
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Ships in 12 - 17 working days
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Focusing on different tools, platforms, and techniques, Blockchain
and the Smart City: Infrastructure and Implementation uses case
studies from around the world to examine blockchain deployment in
diverse smart city applications. The book begins by examining the
fundamental theories and concepts of blockchain. It looks at key
smart cities' domains such as banking, insurance, healthcare, and
supply chain management. It examines Using case studies for each
domain, the book looks at payment mechanisms, fog/edge computing,
green computing, and algorithms and consensus mechanisms for smart
cities implementation. It looks at tools such as Hyperledger,
Etherium, Corda, IBM Blockchain, Hydrachain, as well as policies
and regulatory standards, applications, solutions, and
methodologies. While exploring future blockchain ecosystems for
smart and sustainable city life, the book concludes with the
research challenges and opportunities academics, researchers, and
companies in implementing blockchain applications.
Green Blockchain Technology for Sustainable Smart Cities presents a
detailed exploration of the adaptation and implementation of green
blockchain technology for sustainable and eco-friendly smart city
applications. This book covers all aspects of the topic and
explores smart cities ecosystem applications of blockchain
technology. Novel architectural and business blockchain use case
solutions in smart city implementations are at the core of this
book, which will be beneficial for all researchers, engineers,
graduate students, smart city practitioners, and city
administrators who are engaged in green blockchain and smart
cities-related technologies.
Handbook of Research on Blockchain Technology presents the latest
information on the adaptation and implementation of Blockchain
technologies in real world business, scientific, healthcare and
biomedical applications. The book's editors present the rapid
advancements in existing business models by applying Blockchain
techniques. Novel architectural solutions in the deployment of
Blockchain comprise the core aspects of this book. Several use
cases with IoT, biomedical engineering, and smart cities are also
incorporated. As Blockchain is a relatively new technology that
exploits decentralized networks and is used in many sectors for
reliable, cost-effective and rapid business transactions, this book
is a welcomed addition on existing knowledge. Financial services,
retail, insurance, logistics, supply chain, public sectors and
biomedical industries are now investing in Blockchain research and
technologies for their business growth. Blockchain prevents double
spending in financial transactions without the need of a trusted
authority or central server. It is a decentralized ledger platform
that facilitates verifiable transactions between parties in a
secure and smart way.
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