Although some IoT systems are built for simple event control where a
sensor signal triggers a corresponding reaction, many events are far
more complex, requiring applications to interpret the event using
analytical techniques to initiate proper actions. Artificial
intelligence of things (AIoT) applies intelligence to the edge and gives
devices the ability to understand the data, observe the environment
around them, and decide what to do best with minimum human intervention.
With the power of AI, AIoT devices are not just messengers feeding
information to control centers. They have evolved into intelligent
machines capable of performing self-driven analytics and acting
independently. A smart environment uses technologies such as wearable
devices, IoT, and mobile internet to dynamically access information,
connect people, materials and institutions, and then actively manages
and responds to the ecosystem's needs in an intelligent manner.
In this edited book, the contributors present challenges, technologies,
applications and future trends of AIoT in realizing smart and
intelligent environments, including frameworks and methodologies for
applying AIoT in monitoring devices and environments, tools and
practices most applicable to product or service development to solve
innovation problems, advanced and innovative techniques, and practical
implementations to enhance future smart environment systems. Chapters
cover a broad range of applications including smart cities, smart
transportation and smart agriculture.
This book is a valuable resource for industry and academic researchers,
scientists, engineers and advanced students in the fields of ICTs and
networking, IoT, AI and machine and deep learning, data science,
sensing, robotics, automation and smart technologies and smart
environments.
