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This new volume covers the fusion of IoT and wireless communication
technology for real-life applications. It discusses the current
developments, trends, and latest usage of technology in wireless
sensor networks (WSNs) and IoT, which offer improvement in many
areas, including in enabling smart homes, in agricultural systems,
for security systems, for university monitoring systems, and more.
The volume also provides a theoretical analysis and discussion of
the factors influencing smart sensing, exploring the
state-of-the-art IoT elements that are designed to be analogous to
WSNs. It looks at advancements in IoT systems along with a two-way
usage with wireless sensor networks that span the gap between the
physical and virtual worlds, leading to a hyperconnected society
where devices are not only used to exchange data but also are smart
devices with more capabilities. The chapters reveal how these
technologies are used in smart homes, for intelligent sensor-based
cognitive radio networks, for different techniques for data fusion,
for the synthesis and fabrication of nanosensor devices for
monitoring agricultural nutrient levels, and more. Furthermore, the
fake user problems in WSNs are also investigated with a note on the
current trends and the newer trends to come in near future.
Innovative Engineering with AI Applications Innovative Engineering
with AI Applications demonstrates how we can innovate in different
engineering domains as well as how to make most business problems
simpler by applying AI to them. Engineering advancements combined
with artificial intelligence (AI), have resulted in a
hyper-connected society in which smart devices are not only used to
exchange data but also have increased capabilities. These devices
are becoming more context-aware and smarter by the day. This timely
book shows how organizations, who want to innovate and adapt, can
enter new markets using expertise in various emerging technologies
(e.g. data, AI, system architecture, blockchain), and can build
technology-based business models, a culture of innovation, and
high-performing networks. The book specifies an approach that
anyone can use to better architect, design, and more effectively
build things that are technically novel, useful, and valuable, and
to do so efficiently, on-time, and repeatable. Audience The book is
essential to AI product developers, business leaders in all
industries and organizational domains. Researchers, academicians,
and students in the AI field will also benefit from reading this
book.
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