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All over the world, vast research is in progress on the domain of
Industry 4.0 and related techniques. Industry 4.0 is expected to
have a very high impact on labor markets, global value chains,
education, health, environment, and many social economic aspects.
Industry 4.0 Interoperability, Analytics, Security, and Case
Studies provides a deeper understanding of the drivers and enablers
of Industry 4.0. It includes real case studies of various
applications related to different fields, such as cyber physical
systems (CPS), Internet of Things (IoT), cloud computing, machine
learning, virtualization, decentralization, blockchain, fog
computing, and many other related areas. Also discussed are
interoperability, design, and implementation challenges.
Researchers, academicians, and those working in industry around the
globe will find this book of interest. FEATURES Provides an
understanding of the drivers and enablers of Industry 4.0 Includes
real case studies of various applications for different fields
Discusses technologies such as cyber physical systems (CPS),
Internet of Things (IoT), cloud computing, machine learning,
virtualization, decentralization, blockchain, fog computing, and
many other related areas Covers design, implementation challenges,
and interoperability Offers detailed knowledge on Industry 4.0 and
its underlying technologies, research challenges, solutions, and
case studies
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